text:
file = {Hall.2013.RepairingBadMemories.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Hall.2013.RepairingBadMemories.pdf:application/pdf}
}

@article{schiller_neural_2009,
	title = {A neural mechanism of first impressions},
	volume = {12},
	copyright = {© 2009 Nature Publishing Group},
	issn = {1097-6256},
	url = {http://www.nature.com.ezproxy.vub.ac.be:2048/neuro/journal/v12/n4/full/nn.2278.html},
	doi = {10.1038/nn.2278},
	abstract = {Evaluating social others requires processing complex information. Nevertheless, we can rapidly form an opinion of an individual during an initial encounter. Moreover, people can vary in these opinions, even though the same information is provided. We investigated the brain mechanisms that give rise to the impressions that are formed on meeting a new person. Neuroimaging revealed that responses in the amygdala and the posterior cingulate cortex (PCC) were stronger while encoding social information that was consistent, relative to inconsistent, with subsequent evaluations. In addition, these responses scaled parametrically with the strength of evaluations. These findings provide evidence for encoding differences on the basis of subsequent evaluations, suggesting that the amygdala and PCC are important for forming first impressions.},
	language = {en},
	number = {4},
	urldate = {2013-07-26},
	journal = {Nature Neuroscience},
	author = {Schiller, Daniela and Freeman, Jonathan B. and Mitchell, Jason P. and Uleman, James S. and Phelps, Elizabeth A.},
	month = apr,
	year = {2009},
	pages = {508--514},
	file = {Schiller.EtAl.2009.ANeuralMechanismOfFirstImpressions.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Schiller.EtAl.2009.ANeuralMechanismOfFirstImpressions.pdf:application/pdf}
}

@book{kahane_solving_2008,
	title = {Solving {Tough} {Problems}: {An} {Open} {Way} of {Talking}, {Listening}, and {Creating} {New} {Realities}},
	isbn = {978-1-4429-5024-5},
	shorttitle = {Solving {Tough} {Problems}},
	language = {en},
	publisher = {ReadHowYouWant.com},
	author = {Kahane, Adam},
	month = dec,
	year = {2008},
	file = {Kahane.2007.SolvingToughProblems.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Kahane.2007.SolvingToughProblems.pdf:application/pdf}
}

@book{rashevsky_mathematical_2012,
	title = {Mathematical {Biophysics}: {Physicomathematical} {Foundations} {Of} {Biology}},
	isbn = {1-258-39868-0},
	shorttitle = {Mathematical {Biophysics}},
	language = {English},
	publisher = {Literary Licensing, LLC},
	author = {Rashevsky, Nicolas},
	month = jun,
	year = {2012}
}

@book{rice_evolutionary_2004,
	address = {Sunderland, Mass., USA},
	title = {Evolutionary theory: mathematical and conceptual foundations},
	isbn = {0-87893-702-1 978-0-87893-702-8},
	shorttitle = {Evolutionary theory},
	language = {English},
	publisher = {Sinauer Associates},
	author = {Rice, Sean H},
	year = {2004}
}

@book{meuller-scholer_organic_2011,
	title = {Organic {Computing}-- a {Paradigm} {Shift} for {Complex} {Systems}},
	isbn = {978-3-0348-0130-0},
	abstract = {Organic Computing has emerged as a challenging vision for future information processing systems. Its basis is the insight that we will increasingly be surrounded by and depend on large collections of autonomous systems, which are equipped with sensors and actuators, aware of their environment, communicating freely, and organising themselves in order to perform actions and services required by the users. These networks of intelligent systems surrounding us open fascinating ap-plication areas and at the same time bear the problem of their controllability. Hence, we have to construct such systems as robust, safe, flexible, and trustworthy as possible. In particular, a strong orientation towards human needs as opposed to a pure implementation of the tech-nologically possible seems absolutely central. The technical systems, which can achieve these goals will have to exhibit life-like or 'organic' properties. 'Organic Computing Systems' adapt dynamically to their current environmental conditions. In order to cope with unexpected or undesired events they are self-organising, self-configuring, self-optimising, self-healing, self-protecting, self-explaining, and context-aware, while offering complementary interfaces for higher-level directives with respect to the desired behaviour. First steps towards adaptive and self-organising computer systems are being undertaken. Adaptivity, reconfigurability, emergence of new properties, and self-organisation are hot top-ics in a variety of research groups worldwide. This book summarises the results of a 6-year priority research program (SPP) of the German Research Foundation (DFG) addressing these fundamental challenges in the design of Organic Computing systems. It presents and discusses the theoretical foundations of Organic Computing, basic methods and tools, learningtechniques used in this context, architectural patterns and many applications. The final outlook shows that in the mean-time Organic Computing ideas have spawned a variety of promising new projects.},
	language = {en},
	publisher = {Springer},
	author = {Mèuller-Scholer, Christian and Schmeck, Hartmut and Ungerer, Theo},
	month = jan,
	year = {2011},
	file = {Müller-Schloer.Etal.2011.OrganicComputingAParadigmShiftForComplexSystems.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Müller-Schloer.Etal.2011.OrganicComputingAParadigmShiftForComplexSystems.pdf:application/pdf}
}

@book{goertzel_building_2013,
	edition = {draft},
	title = {Building {Better} {Minds}: {AGI} via {CogPrime}},
	language = {English},
	author = {Goertzel, Ben},
	year = {2013},
	file = {GoertzelEtAl.2012(draft).BuildingBetterMindsAGIviaCogPrime.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/GoertzelEtAl.2012(draft).BuildingBetterMindsAGIviaCogPrime.pdf:application/pdf}
}

@phdthesis{george_how_2008,
	address = {Stanford, CA, USA},
	title = {How the brain might work: a hierarchical and temporal model for learning and recognition},
	shorttitle = {How the brain might work},
	abstract = {The brains of mammals are very efficient learning machines. Many aspects of mammalian learning are yet to be incorporated into machine learning algorithms. For instance, vision is typically considered to be a spatial problem in which a learning system needs to be trained with labeled examples of object images. Yet, mammals learn with continuously flowing unlabeled data. It is also generally accepted that the visual cortex in mammals is organized as a hierarchy and that many aspects of visual perception can be modeled using Bayesian computations. This dissertation introduces algorithms and networks that combine hierarchical and temporal learning with Bayesian inference for pattern recognition. These algorithms and networks, collectively called Hierarchical Temporal Memory (HTM), can be used to learn hierarchical-temporal models of data. Temporal continuity is used to learn multiple levels of the hierarchy without supervision. The HTM algorithms, when applied to a visual pattern recognition problem, exhibit invariant recognition, robustness to noise, and generalization. Inference in the hierarchy is performed using Bayesian belief propagation equations that are adapted to this problem setting. In order to understand the generalization properties of HTMs, a generative model for HTMs is developed. This model enables the generation of synthetic data from HTM networks. These data are used to analyze and characterize learning and generalization in hierarchical-temporal systems. Two existing hierarchical pattern recognition models are mapped to HTMs to explain the source of generalization in those models. Finally, the HTM Bayesian belief propagation equations are used to suggest a mathematical model for cortical microcircuits. The microcircuit model is derived by combining known anatomical constraints with the computational specifications of HTM belief propagation. The proposed model has a laminar and columnar organization that matches many known anatomical features. The proposed circuits are then used in the modeling of two well known physiological phenomena.},
	school = {Stanford University},
	author = {George, Dileep},
	year = {2008},
	note = {AAI3313576},
	file = {George.2008.HowTheBrainMighWork\:AHierarchicalAndTEmporalMOdelForLearningAndRecognition.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/George.2008.HowTheBrainMighWork\:AHierarchicalAndTEmporalMOdelForLearningAndRecognition.pdf:application/pdf}
}

@techreport{gao_agent-based_2008,
	address = {Santa Fe},
	title = {Agent-based {Models} of {Levels} of {Consciousness}},
	url = {http://www.santafe.edu/research/publications/workingpapers/08-12-048. pdf},
	number = {WP 08-12-048},
	institution = {Santa Fe Institute},
	author = {Gao, HH and Holland, JH},
	year = {2008},
	file = {Gao.Holland.Agent-basedModelsOfLevelsOfConsciousness.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Gao.Holland.Agent-basedModelsOfLevelsOfConsciousness.pdf:application/pdf}
}

@inproceedings{froese_dynamically_2013,
	address = {Cancun, Mexico},
	title = {The {Dynamically} {Extended} {Mind} -- {A} {Minimal} {Modeling} {Case} {Study}},
	url = {http://arxiv.org/abs/1305.1958},
	abstract = {The extended mind hypothesis has stimulated much interest in cognitive science. However, its core claim, i.e. that the process of cognition can extend beyond the brain via the body and into the environment, has been heavily criticized. A prominent critique of this claim holds that when some part of the world is coupled to a cognitive system this does not necessarily entail that the part is also constitutive of that cognitive system. This critique is known as the "coupling-constitution fallacy". In this paper we respond to this reductionist challenge by using an evolutionary robotics approach to create a minimal model of two acoustically coupled agents. We demonstrate how the interaction process as a whole has properties that cannot be reduced to the contributions of the isolated agents. We also show that the neural dynamics of the coupled agents has formal properties that are inherently impossible for those neural networks in isolation. By keeping the complexity of the model to an absolute minimum, we are able to illustrate how the coupling-constitution fallacy is in fact based on an inadequate understanding of the constitutive role of nonlinear interactions in dynamical systems theory.},
	urldate = {2013-07-18},
	author = {Froese, Tom and Gershenson, Carlos and Rosenblueth, David A.},
	month = may,
	year = {2013},
	file = {Froese.Gershenson.Rosenblueth.2013.TheDynamicallyExtendedMind.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Froese.Gershenson.Rosenblueth.2013.TheDynamicallyExtendedMind.pdf:application/pdf}
}

@article{gershenson_complexity_2012,
	title = {Complexity and {Information}: {Measuring} {Emergence}, {Self}-organization, and {Homeostasis} at {Multiple} {Scales}},
	volume = {18},
	shorttitle = {Complexity and {Information}},
	url = {http://arxiv.org/abs/1205.2026},
	abstract = {Concepts used in the scientific study of complex systems have become so widespread that their use and abuse has led to ambiguity and confusion in their meaning. In this paper we use information theory to provide abstract and concise measures of complexity, emergence, self-organization, and homeostasis. The purpose is to clarify the meaning of these concepts with the aid of the proposed formal measures. In a simplified version of the measures (focusing on the information produced by a system), emergence becomes the opposite of self-organization, while complexity represents their balance. Homeostasis can be seen as a measure of the stability of the system. We use computational experiments on random Boolean networks and elementary cellular automata to illustrate our measures at multiple scales.},
	number = {2},
	urldate = {2013-07-18},
	journal = {Complexity},
	author = {Gershenson, Carlos and Fernandez, Nelson},
	month = may,
	year = {2012},
	note = {Complexity 18(2):29-44. 2012},
	pages = {29--44},
	file = {FrenandezEtAl.2013.InformationMeasuresOfComplexityEmergenceSelfOrganizationHomeostasisAndAutopoiesis.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/FrenandezEtAl.2013.InformationMeasuresOfComplexityEmergenceSelfOrganizationHomeostasisAndAutopoiesis.pdf:application/pdf}
}

@techreport{fernandez_information_2013,
	type = {{arXiv} e-print},
	title = {Information {Measures} of {Complexity}, {Emergence}, {Self}-organization, {Homeostasis}, and {Autopoiesis}},
	url = {http://arxiv.org/abs/1304.1842},
	abstract = {This chapter reviews measures of emergence, self-organization, complexity, homeostasis, and autopoiesis based on information theory. These measures are derived from proposed axioms and tested in two case studies: random Boolean networks and an Arctic lake ecosystem. Emergence is defined as the information produced by a system or process. Self-organization is defined as the opposite of emergence, while complexity is defined as the balance between emergence and self-organization. Homeostasis reflects the stability of a system. Autopoiesis is defined as the ratio between the complexity of a system and the complexity of its environment. The proposed measures can be applied at different scales, which can be studied with multi-scale profiles.},
	number = {1304.1842},
	urldate = {2013-07-18},
	author = {Fernandez, Nelson and Maldonado, Carlos and Gershenson, Carlos},
	month = apr,
	year = {2013},
	file = {FrenandezEtAl.2013.InformationMeasuresOfComplexityEmergenceSelfOrganizationHomeostasisAndAutopoiesis.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/FrenandezEtAl.2013.InformationMeasuresOfComplexityEmergenceSelfOrganizationHomeostasisAndAutopoiesis.pdf:application/pdf}
}

@book{freitas_jr._xenology:_1979,
	edition = {Xenology Research Institute (1979-2010)},
	title = {Xenology: {An} {Introduction} to the {Scientific} {Study} of {Extraterrestrial} {Life}, {Intelligence}, and {Civilization}},
	url = {http://www.xenology.info/Xeno.htm},
	author = {Freitas Jr., Robert A.},
	year = {1979},
	keywords = {vveitas:world\_of\_views},
	file = {Freitas 1979 - Xenology_annotated_vveitas.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Freitas 1979 - Xenology_annotated_vveitas.pdf:application/pdf}
}

@book{fodor_concepts:_1998,
	title = {Concepts: {Where} {Cognitive} {Science} {Went} {Wrong}},
	isbn = {978-0-19-823636-8},
	shorttitle = {Concepts},
	abstract = {The renowned philosopher Jerry Fodor, a leading figure in the study of the mind for more than twenty years, presents a strikingly original theory on the basic constituents of thought. He suggests that the heart of cognitive science is its theory of concepts, and that cognitive scientists have gone badly wrong in many areas because their assumptions about concepts have been mistaken. Fodor argues compellingly for an atomistic theory of concepts, deals out witty and pugnacious demolitions of rival theories, and suggests that future work on human cognition should build upon new foundations. This lively, conversational, and superbly accessible book is the first volume in the Oxford Cognitive Science Series, where the best original work in this field will be presented to a broad readership. Concepts will fascinate anyone interested in contemporary work on mind and language. Cognitive science will never be the same again.},
	language = {en},
	publisher = {Oxford University Press on Demand},
	author = {Fodor, Jerry A.},
	year = {1998},
	file = {Fodor.Concepts - Where Cognitive Science Went Wrong.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Fodor.Concepts - Where Cognitive Science Went Wrong.pdf:application/pdf}
}

@book{hofstadter_minds:_1982,
	title = {The {Mind}'s: {Fantasies} and {Reflections} on {Self} and {Soul}. 1},
	isbn = {978-0-553-34584-1},
	shorttitle = {The {Mind}'s},
	abstract = {Brilliant, shattering, mind-jolting, "The Mind's I" is a searching, probing nook--a cosmic journey of the mind--that goes deeply into the problem of self and self-consciousness as anything written in our time. From verbalizing chimpanzees to scientific speculations involving machines with souls, from the mesmerizing, maze-like fiction of Borges to the tantalizing, dreamlike fiction of Lem and Princess Ineffable, her circuits glowing read and gold, "The Mind's I " opens the mind to the Black Box of fantasy, to the windfalls of reflection, to new dimensions of exciting possibilities.},
	language = {en},
	publisher = {Bantam Books},
	author = {Hofstadter, Douglas R. and Dennett, Daniel Clement},
	year = {1982},
	file = {Dennett.Hofstadter.2001.TheMindsIFantasiesAndReflectionsOnSelfAndSoul.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Dennett.Hofstadter.2001.TheMindsIFantasiesAndReflectionsOnSelfAndSoul.pdf:application/pdf}
}

@book{dennett_consciousness_1993,
	title = {Consciousness {Explained}},
	isbn = {978-0-14-012867-3},
	abstract = {In Consciousness Explained, Daniel C. Dennett reveals the secrets of one of the last remaining mysteries of the universe: the human brain. Daniel C. Dennett's now-classic book blends philosophy, psychology and neuroscience - with the aid of numerous examples and thought-experiments - to explore how consciousness has evolved, and how a modern understanding of the human mind is radically different from conventional explanations of consciousness. What people think of as the stream of consciousness is not a single, unified sequence, the author argues, but 'multiple drafts' of reality composed by a computer-like 'virtual machine'. Dennett explains how science has exploded the classic mysteries of consciousness: the nature of introspection, the self or ego and its relation to thoughts and sensations, the problems posed by qualia, and the level of consciousness of non-human creatures. 'Brilliant ... a torrent of stimulating thought' Richard Dawkins 'Revolutionary ... one of the most mentally agile, intellectually resourceful books you are likely to read' Guardian 'A masterful tapestry of deep insights ... Dennett has written a profound and important book that is also clear, exciting and witty' Douglas R. Hofstadter, author of Gödel, Escher, Bach 'Extraordinary ... supremely engaging and witty' Independent 'Dennett's exposition is nothing short of brilliant, the best example I've seen of a science book aimed at both professionals and general readers' The New York Times Book Review Daniel C. Dennett is one of the most original and provocative thinkers in the world. A brilliant polemicist and philosopher, he is famous for challenging unexamined orthodoxies, and an outspoken supporter of the Brights movement. His books include Brainstorms, Brainchildren, Elbow Room, Breaking the Spell, Darwin's Dangerous Idea and Freedom Evolves.},
	language = {en},
	publisher = {Penguin Adult},
	author = {Dennett, Daniel C.},
	month = jun,
	year = {1993},
	file = {Dennett.1992.ConsciousnessExplained.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Dennett.1992.ConsciousnessExplained.pdf:application/pdf}
}

@book{dennett_brainchildren:_1998,
	title = {Brainchildren: {Essays} on {Designing} {Minds}, 1984-1996},
	isbn = {978-0-262-54090-2},
	shorttitle = {Brainchildren},
	abstract = {Minds are complex artifacts, partly biological and partly social; only a unified, multidisciplinary approach will yield a realistic theory of how they came into existence and how they work. One of the foremost workers in this multidisciplinary field is Daniel Dennett. This book brings together his essays on the philosphy of mind, artificial intelligence, and cognitive ethology that appeared in inaccessible journals from 1984 to 1996. Highlights include "Can Machines Think?, " "The Unimagined Preposterousness of Zombies, " "Artificial Life as Philosophy, " and "Animal Consciousness: What Matters and Why." Collected in a single volume, the essays are now available to a wider audience.},
	language = {en},
	publisher = {MIT Press},
	author = {Dennett, Daniel Clement},
	year = {1998},
	file = {Dennett.1998.BrainchildrenEssaysOnDesigningMindsRepresentationAndMind.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Dennett.1998.BrainchildrenEssaysOnDesigningMindsRepresentationAndMind.pdf:application/pdf}
}

@article{fellin_communication_2009,
	title = {Communication between neurons and astrocytes: relevance to the modulation of synaptic and network activity},
	volume = {108},
	issn = {1471-4159},
	shorttitle = {Communication between neurons and astrocytes},
	url = {http://arxiv.org/pdf/1112.0639.pdf},
	doi = {10.1111/j.1471-4159.2008.05830.x},
	abstract = {Neuromodulation is a fundamental process in the brain that regulates synaptic transmission, neuronal network activity and behavior. Emerging evidence demonstrates that astrocytes, a major population of glial cells in the brain, play previously unrecognized functions in neuronal modulation. Astrocytes can detect the level of neuronal activity and release chemical transmitters to influence neuronal function. For example, recent findings show that astrocytes play crucial roles in the control of Hebbian plasticity, the regulation of neuronal excitability and the induction of homeostatic plasticity. This review discusses the importance of astrocyte-to-neuron signaling in different aspects of neuronal function from the activity of single synapses to that of neuronal networks.},
	language = {eng},
	number = {3},
	journal = {Journal of neurochemistry},
	author = {Fellin, Tommaso},
	month = feb,
	year = {2009},
	pmid = {19187090},
	pages = {533--544},
	file = {Fellin.2009.CommunicationBetwenNeuronsAndAstrocytes\:RelevanceToTheModulationOfSynapticAndNetworkActivity.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Fellin.2009.CommunicationBetwenNeuronsAndAstrocytes\:RelevanceToTheModulationOfSynapticAndNetworkActivity.pdf:application/pdf}
}

@article{fasler_can_2012,
	title = {Can the {Computers} at {Narrative} {Science} {Replace} {Paid} {Writers}?},
	url = {http://www.theatlantic.com/entertainment/archive/2012/04/can-the-computers-at-narrative-science-replace-paid-writers/255631/},
	language = {English},
	urldate = {2012-11-04},
	journal = {the Atlantic},
	author = {Fasler, Joe},
	month = apr,
	year = {2012},
	file = {Fasler.CanComputersAtNarrativeScienceReplacePaidWriters.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Fasler.CanComputersAtNarrativeScienceReplacePaidWriters.pdf:application/pdf}
}

@inproceedings{farmer_rosetta_1990,
	address = {Amsterdam, The Netherlands, The Netherlands},
	series = {{CNLS} '89},
	title = {A {Rosetta} stone for connectionism},
	url = {http://dl.acm.org/citation.cfm?id=87498.87545},
	urldate = {2012-03-08},
	booktitle = {Proceedings of the ninth annual international conference of the {Center} for {Nonlinear} {Studies} on {Self}-organizing, {Collective}, and {Cooperative} {Phenomena} in {Natural} and {Artificial} {Computing} {Networks} on {Emergent} computation},
	publisher = {North-Holland Publishing Co.},
	author = {Farmer, J. Doyne},
	year = {1990},
	pages = {153--187},
	file = {Farmer.1990.ARosettaStoneForConnectinism.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Farmer.1990.ARosettaStoneForConnectinism.pdf:application/pdf}
}

@techreport{evan_industrial_2012,
	title = {Industrial {Internet}: {Pushing} the {Boundaries} of {Minds} and {Machines}},
	language = {English},
	institution = {General Electic},
	author = {Evan, Peter. C and Annunziata, Marco},
	month = nov,
	year = {2012},
	pages = {37},
	file = {Evans.Annunziata.2012IndustrialInternetPushingTheBoundariesOfMindsAndMachines.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Evans.Annunziata.2012IndustrialInternetPushingTheBoundariesOfMindsAndMachines.pdf:application/pdf}
}

@book{meyers_encyclopedia_2009,
	title = {Encyclopedia of {Complexity} and {Systems} {Science}},
	isbn = {978-0-387-75888-6},
	shorttitle = {Encyclopedia of {Complexity} and {Systems} {Science}},
	language = {en},
	publisher = {Springer},
	editor = {Meyers, Robert A.},
	year = {2009},
	file = {Encyclopedia of Complexity and Systems Science (v. 1-10).pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Encyclopedia of Complexity and Systems Science (v. 1-10).pdf:application/pdf}
}

@article{arrabales_strategies_2009,
	title = {Strategies for {Measuring} {Machine} {Consciousness}},
	volume = {1},
	number = {2},
	journal = {International Journal of Machine Consciousness},
	author = {Arrabales, Raúl and Ledezma, Agapito and Sanchis, Araceli},
	year = {2009},
	keywords = {vveitas:generative\_model},
	pages = {193--201},
	file = {Arrabales.EtAl.2009.StrategiesForMeasuringMachineConsciousness_IJMC09_preprint.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Arrabales.EtAl.2009.StrategiesForMeasuringMachineConsciousness_IJMC09_preprint.pdf:application/pdf}
}

@article{georgeon_eca:_2013,
	series = {{BICA} 2013: {Papers} from the {Fourth} {Annual} {Meeting} of the {BICA} {Society}},
	title = {{ECA}: {An} enactivist cognitive architecture based on sensorimotor modeling},
	volume = {6},
	issn = {2212-683X},
	shorttitle = {{ECA}},
	url = {http://www.sciencedirect.com/science/article/pii/S2212683X13000418},
	doi = {10.1016/j.bica.2013.05.006},
	abstract = {A novel way to model an agent interacting with an environment is introduced, called an Enactive Markov Decision Process (EMDP). An EMDP keeps perception and action embedded within sensorimotor schemes rather than dissociated, in compliance with theories of embodied cognition. Rather than seeking a goal associated with a reward, as in reinforcement learning, an EMDP agent learns to master the sensorimotor contingencies offered by its coupling with the environment. In doing so, the agent exhibits a form of intrinsic motivation related to the autotelic principle (Steels, 2004), and a value system attached to interactions called interactional motivation. This modeling approach allows the design of agents capable of autonomous self-programming, which provides rudimentary constitutive autonomy—a property that theoreticians of enaction consider necessary for autonomous sense-making (e.g., Froese \& Ziemke, 2009). A cognitive architecture is presented that allows the agent to discover, memorize, and exploit spatio-sequential regularities of interaction, called Enactive Cognitive Architecture (ECA). In our experiments, behavioral analysis shows that ECA agents develop active perception and begin to construct their own ontological perspective on the environment.},
	urldate = {2014-11-30},
	journal = {Biologically Inspired Cognitive Architectures},
	author = {Georgeon, Olivier L. and Marshall, James B. and Manzotti, Riccardo},
	month = oct,
	year = {2013},
	keywords = {vveitas:developmental\_AI},
	pages = {46--57},
	file = {Georgeon.2013.ECAAnEnactivistCognitiveArchitectureBasedOnSensimotorModelling.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Georgeon.2013.ECAAnEnactivistCognitiveArchitectureBasedOnSensimotorModelling.pdf:application/pdf}
}

@article{quine_what_1948,
	title = {On {What} {There} {Is}},
	volume = {2},
	number = {5},
	journal = {Review of Metaphysics},
	author = {Quine, Willard van Orman},
	year = {1948},
	pages = {21--36},
	file = {Quine.1948.OnWhatThereIs.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Quine.1948.OnWhatThereIs.pdf:application/pdf}
}

@article{bongard_resilient_2006,
	title = {Resilient {Machines} {Through} {Continuous} {Self}-{Modeling}},
	volume = {314},
	issn = {0036-8075, 1095-9203},
	url = {http://www.sciencemag.org/content/314/5802/1118},
	doi = {10.1126/science.1133687},
	abstract = {Animals sustain the ability to operate after injury by creating qualitatively different compensatory behaviors. Although such robustness would be desirable in engineered systems, most machines fail in the face of unexpected damage. We describe a robot that can recover from such change autonomously, through continuous self-modeling. A four-legged machine uses actuation-sensation relationships to indirectly infer its own structure, and it then uses this self-model to generate forward locomotion. When a leg part is removed, it adapts the self-models, leading to the generation of alternative gaits. This concept may help develop more robust machines and shed light on self-modeling in animals.},
	language = {en},
	number = {5802},
	urldate = {2014-11-29},
	journal = {Science},
	author = {Bongard, Josh and Zykov, Victor and Lipson, Hod},
	month = nov,
	year = {2006},
	pmid = {17110570},
	keywords = {vveitas:developmental\_AI},
	pages = {1118--1121},
	file = {Bongard.2006.ResilientMachinesThroughContinuousSelfModeling.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Bongard.2006.ResilientMachinesThroughContinuousSelfModeling.pdf:application/pdf}
}

@incollection{steels_autotelic_2004,
	series = {Lecture {Notes} in {Computer} {Science}},
	title = {The {Autotelic} {Principle}},
	copyright = {©2004 Springer-Verlag Berlin Heidelberg},
	isbn = {978-3-540-22484-6 978-3-540-27833-7},
	url = {http://link.springer.com/chapter/10.1007/978-3-540-27833-7_17},
	abstract = {The dominant motivational paradigm in embodied AI so far is based on the classical behaviorist approach of reward and punishment. The paper introduces a new principle based on ’flow theory’. This new, ‘autotelic’, principle proposes that agents can become self-motivated if their target is to balance challenges and skills. The paper presents an operational version of this principle and argues that it enables a developing robot to self-regulate its development.},
	language = {en},
	number = {3139},
	urldate = {2014-11-23},
	booktitle = {Embodied {Artificial} {Intelligence}},
	publisher = {Springer Berlin Heidelberg},
	author = {Steels, Luc},
	editor = {Iida, Fumiya and Pfeifer, Rolf and Steels, Luc and Kuniyoshi, Yasuo},
	month = jan,
	year = {2004},
	keywords = {vveitas:generative\_model},
	pages = {231--242},
	file = {Steels.2004.TheAutotelicPrinciple.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Steels.2004.TheAutotelicPrinciple.pdf:application/pdf}
}

@article{glasersfeld_cognition_1989,
	title = {Cognition, construction of knowledge, and teaching},
	volume = {80},
	issn = {0039-7857, 1573-0964},
	url = {http://link.springer.com/article/10.1007/BF00869951},
	doi = {10.1007/BF00869951},
	abstract = {The existence of objective knowledge and the possibility of communicating it by means of language have traditionally been taken for granted by educators. Recent developments in the philosophy of science and the historical study of scientific accomplishments have deprived these presuppositions of their former plausibility. Sooner or later, this must have an effect on the teaching of science. In this paper I am presenting a brief outline of an alternative theory of knowing that takes into account the thinking organism's cognitive isolation from ‘reality’. This orientation was proposed by Vico at the beginning of the 18th century, disregarded for two hundred years, and then propounded independently by Piaget as a developmentally grounded constructivist epistemology. The paper focuses specifically on the adaptive function of cognition, Piaget's scheme theory, the process of communication, and the subjective perspective on social interaction. In the concluding section it then suggests some of the consequences the shift of epistemological presuppositions might have for the practice of teaching.},
	language = {en},
	number = {1},
	urldate = {2014-11-23},
	journal = {Synthese},
	author = {Glasersfeld, Ernst von},
	month = jul,
	year = {1989},
	keywords = {vveitas:generative\_model},
	pages = {121--140},
	file = {Glaserfield.1989.CognitionConstructionOfKnowledgeAndTeaching.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Glaserfield.1989.CognitionConstructionOfKnowledgeAndTeaching.pdf:application/pdf}
}

@inproceedings{georgeon_enactive_2013,
	title = {An {Enactive} approach to autonomous agent and robot learning},
	doi = {10.1109/DevLrn.2013.6652527},
	abstract = {A novel way to model an agent interacting with an environment is introduced, called an Enactive Markov Decision Process (EMDP). An EMDP keeps perception and action embedded within sensorimotor schemes rather than dissociated. Instead of seeking a goal associated with a reward, as in reinforcement learning, an EMDP agent is driven by two forms of self-motivation: successfully enacting sequences of interactions (autotelic motivation), and preferably enacting interactions that have predefined positive values (interactional motivation). An EMDP learning algorithm is presented. Results show that the agent develops a rudimentary form of self-programming, along with active perception as it learns to master the sensorimotor contingencies afforded by its coupling with the environment.},
	booktitle = {2013 {IEEE} {Third} {Joint} {International} {Conference} on {Development} and {Learning} and {Epigenetic} {Robotics} ({ICDL})},
	author = {Georgeon, O.L. and Wolf, C. and Gay, S.},
	month = aug,
	year = {2013},
	pages = {1--6},
	file = {Georgeon.2013.AnEnactiveApproachToAutonomousAgentAndRobotLearning.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Georgeon.2013.AnEnactiveApproachToAutonomousAgentAndRobotLearning.pdf:application/pdf}
}

@article{sun_desiderata_2004,
	title = {Desiderata for {Cognitive} {Architectures}},
	volume = {17},
	abstract = {ABSTRACT This article addresses issues in developing cognitive architectures—generic computational models of cognition. Cognitive architectures are believed to be essential in advancing understanding of the mind, and therefore, developing cognitive architectures is an extremely important enterprise in cognitive science. The article proposes a set of essential desiderata for developing cognitive architectures. It then moves on to discuss in detail some of these desiderata and their associated concepts and ideas relevant to developing better cognitive architectures. It argues for the importance of taking into full consideration these desiderata in developing future architectures that are more cognitively and ecologically realistic. A brief and preliminary evaluation of existing cognitive architectures is attempted on the basis of these ideas. 1.},
	journal = {Philosophical Psychology},
	author = {Sun, Ron},
	year = {2004},
	keywords = {vveitas:developmental\_AI},
	pages = {341--373},
	file = {Sun.2004.DesiderataForCognitiveArchitectures.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Sun.2004.DesiderataForCognitiveArchitectures.pdf:application/pdf}
}

@incollection{vernon_nature_2015,
	address = {Cambridge, MA},
	title = {The {Nature} of {Cognition}},
	isbn = {978-0-262-02838-7},
	url = {http://www.amazon.fr/Artificial-Cognitive-Systems-David-Vernon/dp/0262028387/ref=sr_1_1?ie=UTF8&qid=1415819085&sr=8-1&keywords=artificial+cognitive+systems+-+a+primer+david+vernon},
	language = {Anglais},
	booktitle = {Artificial {Cognitive} {Systems} - {A} {Primer}},
	publisher = {MIT Press},
	author = {Vernon, David},
	month = jan,
	year = {2015},
	file = {Vernon.2014.TheNatureOfCognition.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Vernon.2014.TheNatureOfCognition.pdf:application/pdf}
}

@article{vernon_survey_2007,
	title = {A survey of artificial cognitive systems: {Implications} for the autonomous development of mental capabilities in computational agents},
	volume = {11},
	number = {2},
	journal = {Evolutionary Computation, IEEE Transactions on},
	author = {Vernon, David and Metta, Giorgio and Sandini, Giulio},
	year = {2007},
	keywords = {vveitas:generative\_model},
	pages = {151--180},
	file = {Vernon.EtAl.2007.ASurveyOfArtificialCognitiveSystems.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Vernon.EtAl.2007.ASurveyOfArtificialCognitiveSystems.pdf:application/pdf}
}

@incollection{phd_dynamical_2013,
	address = {New York, NY},
	edition = {1 edition},
	title = {Dynamical {Systems} {Thinking}: {From} {Metaphor} to {Neural} {Theory}},
	isbn = {978-1-60918-509-1},
	language = {English},
	booktitle = {Handbook of {Developmental} {Systems} {Theory} and {Methodology}},
	publisher = {The Guilford Press},
	author = {Schoner, Gregor},
	editor = {PhD, Peter C. M. Molenaar and PhD, Richard M. Lerner and Phd, Karl M. Newell},
	month = dec,
	year = {2013},
	keywords = {vveitas:generative\_model},
	pages = {188--219},
	file = {Schoner.2014.DynamicalSystemsThinkingFromMetaphorToNeuralTheory.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Schoner.2014.DynamicalSystemsThinkingFromMetaphorToNeuralTheory.pdf:application/pdf}
}

@article{moors_appraisal_2013,
	title = {Appraisal theories of emotion: {State} of the art and future development},
	volume = {5},
	number = {2},
	journal = {Emotion Review},
	author = {Moors, Agnes and Ellsworth, Phoebe C and Scherer, Klaus R and Frijda, Nico H},
	year = {2013},
	keywords = {vveitas:generative\_model},
	pages = {119--124},
	file = {Moors.EtAl.2013.ApraisalTheoriesOfEmotionStateOfTheArtAndFutureDevelopment.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Moors.EtAl.2013.ApraisalTheoriesOfEmotionStateOfTheArtAndFutureDevelopment.pdf:application/pdf}
}

@article{allen_beyond_2013,
	title = {Beyond principles and programs: {An} action framework for modeling development},
	volume = {56},
	number = {3},
	journal = {Human Development},
	author = {Allen, Jedediah WP and Bickhard, Mark H},
	year = {2013},
	keywords = {vveitas:generative\_model},
	pages = {171--177},
	file = {Allen.Bickhard.2013.BeyondPrinciplesAndProgramsAnActionFrameworkForModellingDevelopment.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Allen.Bickhard.2013.BeyondPrinciplesAndProgramsAnActionFrameworkForModellingDevelopment.pdf:application/pdf}
}

@book{bickhard_foundational_1996,
	title = {Foundational issues in artificial intelligence and cognitive science: {Impasse} and solution},
	volume = {109},
	publisher = {Elsevier},
	author = {Bickhard, Mark H and Terveen, Loren},
	year = {1996},
	keywords = {vveitas:generative\_model},
	file = {Biskhard.Terveen.1996.FoundationalIssuesInArtificialIntelligenceAndCogntiveScience.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Biskhard.Terveen.1996.FoundationalIssuesInArtificialIntelligenceAndCogntiveScience.pdf:application/pdf}
}

@article{barandiaran_what_2006,
	title = {On what makes certain dynamical systems cognitive: {A} minimally cognitive organization program},
	volume = {14},
	number = {2},
	journal = {Adaptive Behavior},
	author = {Barandiaran, Xabier and Moreno, Alvaro},
	year = {2006},
	keywords = {vveitas:generative\_model},
	pages = {171--185},
	file = {Barandiaran.EtAl.2006.OnWhatMakesCertainDynamicalSystesCognmitive.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Barandiaran.EtAl.2006.OnWhatMakesCertainDynamicalSystesCognmitive.pdf:application/pdf}
}

@article{ruiz-mirazo_universal_2004,
	title = {A universal definition of life: autonomy and open-ended evolution},
	volume = {34},
	number = {3},
	journal = {Origins of Life and Evolution of the Biosphere},
	author = {Ruiz-Mirazo, Kepa and Peretó, Juli and Moreno, Alvaro},
	year = {2004},
	keywords = {vveitas:generative\_model},
	pages = {323--346},
	file = {Ruis-Mirazo.2004.AUniversalDefinitonOfLifeAutonomyAndOpenEndedEvolution.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Ruis-Mirazo.2004.AUniversalDefinitonOfLifeAutonomyAndOpenEndedEvolution.pdf:application/pdf}
}

@book{wiener_human_1950,
	address = {Boston},
	title = {The {Human} {Use} of {Human} {Beings}: {Cybernetics} and {Society}},
	shorttitle = {The {Human} {Use} of {Human} {Beings}},
	language = {en},
	publisher = {Houghton-Mifflin},
	author = {Wiener, Norbert},
	year = {1950},
	file = {Weiner.1989.HumanUseOfHumanBeings.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Weiner.1989.HumanUseOfHumanBeings.pdf:application/pdf}
}

@book{ford_lights_2009,
	title = {The {Lights} in the {Tunnel}: {Automation}, {Accelerating} {Technology} and the {Economy} of the {Future}},
	shorttitle = {The {Lights} in the {Tunnel}},
	abstract = {What will the economy of the future look like?Where will advancing technology, job automation, outsourcing and globalization lead?Is it possible that accelerating computer technology was a primary cause of the current global economic crisis—and that even more disruptive impacts lie ahead?This groundbreaking book by a Silicon Valley computer engineer and entrepreneur explores these questions and shows how accelerating technology is likely to have a highly disruptive influence on our economy in the near future—and may well already be a significant factor in the current global crisis.THE LIGHTS IN THE TUNNEL employs a powerful thought experiment to explore the economy of the future. An imaginary "tunnel of lights" is used to visualize the economic implications of the new technologies that are likely to appear in the coming years and decades. The book directly challenges nearly all conventional views of the future and illuminates the danger that lies ahead if we do not plan for the impact of rapidly advancing technology.  It also offers unique insights into how technology will intertwine with globalization to shape the twenty-first century and explores ways in which the economic realities of the future might be leveraged to drive prosperity and to address global challenges such as poverty and climate change.},
	language = {English},
	publisher = {Acculant Publishing},
	author = {Ford, Martin},
	month = oct,
	year = {2009},
	file = {Ford.2009.TheLightsInTheTunnelAutomation.pdf:/media/vveitas/LibraryKing/gdrive/vveitas@gmail.com/library/Ford.2009.TheLightsInTheTunnelAutomation.pdf:application/pdf}
}

@article{wenig_autonomous_2003,
	title = {Autonomous mental development: {A} new frontier for computational intelligence},
	volume = {2003},
	journal = {IEEE Connections. Nov},
	author = {Wenig, J},
	year = {2003},
	keywords = {vveitas:generative\_model},
	pages = {8--13},
	file = {Weng.2003.AutonomousMentalDevelopmentANewFrontierForcomputationalIntelligence.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Weng.2003.AutonomousMentalDevelopmentANewFrontierForcomputationalIntelligence.pdf:application/pdf}
}

@article{georgeon_intrinsically-motivated_2012,
	title = {An intrinsically-motivated schema mechanism to model and simulate emergent cognition},
	volume = {15},
	journal = {Cognitive Systems Research},
	author = {Georgeon, Olivier L and Ritter, Frank E},
	year = {2012},
	keywords = {vveitas:generative\_model, vveitas:developmental\_AI},
	pages = {73--92},
	file = {Georgeon.Ritter.2011.AnIntrinsicallyMotivatedSchemaMechanism.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Georgeon.Ritter.2011.AnIntrinsicallyMotivatedSchemaMechanism.pdf:application/pdf}
}

@article{price_degeneracy_2002,
	title = {Degeneracy and cognitive anatomy},
	volume = {6},
	issn = {1364-6613},
	url = {http://www.sciencedirect.com/science/article/pii/S1364661302019769},
	doi = {10.1016/S1364-6613(02)01976-9},
	abstract = {Cognitive models indicate that there are multiple ways of completing the same task. This implicit degeneracy cannot be revealed by functional imaging studies of normal subjects if more than one of the sufficient neural systems is activated. Nor can it be detected by neuropsychological studies of patients because their performance might not be impaired when only one degenerate system is damaged. We propose that degenerate sets of sufficient neural systems can only be identified by an iterative approach that integrates the lesion-deficit model and functional imaging studies of normal and neurologically damaged subjects.},
	number = {10},
	urldate = {2014-11-03},
	journal = {Trends in Cognitive Sciences},
	author = {Price, Cathy J and Friston, Karl J},
	month = oct,
	year = {2002},
	keywords = {vveitas:generative\_model},
	pages = {416--421},
	file = {Price.Friston.2002.DegeneracyAndCognitiveAnatomy.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Price.Friston.2002.DegeneracyAndCognitiveAnatomy.pdf:application/pdf}
}

@incollection{steels_symbol_2008,
	title = {The {Symbol} {Grounding} {Problem} has {Been} {Solved}. {So} {What}'s {Next}},
	booktitle = {Symbols and {Embodiment}: {Debates} on {Meaning} and {Cognition}},
	publisher = {Oxford University Press},
	author = {Steels, Luc},
	editor = {Vega, Manuel de and Glenberg, Arthur M. and Graesser, Arthur C.},
	year = {2008},
	keywords = {vveitas:generative\_model, vveitas:symbol\_grounding},
	pages = {223--244},
	file = {Steels.2008.TheSymbolGroundingProblemHasBeenSolvedSoWhatsNext.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Steels.2008.TheSymbolGroundingProblemHasBeenSolvedSoWhatsNext.pdf:application/pdf}
}

@article{harnad_symbol_1990,
	title = {The symbol grounding problem},
	volume = {42},
	issn = {0167-2789},
	url = {http://www.sciencedirect.com/science/article/pii/0167278990900876},
	doi = {10.1016/0167-2789(90)90087-6},
	abstract = {There has been much discussion recently about the scope and limits of purely symbolic models of the mind and about the proper role of connectionism in cognitive modeling. This paper describes the “symbol grounding problem”: How can the semantic interpretation of a formal symbol system be made intrinsic to the system, rather than just parasitic on the meanings in our heads? How can the meanings of the meaningless symbol tokens, manipulated solely on the basis of their (arbitrary) shapes, be grounded in anything but other meaningless symbols? The problem is analogous to trying to learn Chinese from a Chinese/Chinese dictionary alone. A candidate solution is sketched: Symbolic representations must be grounded bottom-up in nonsymbolic representations of two kinds: (1) iconic representations, which are analogs of the proximal sensory projections of distal objects and events, and (2) categorical representations, which are learned and innate feature detectors that pick out the invariant features of object and event categories from their sensory projections. Elementary symbols are the names of these object and event categories, assigned on the basis of their (nonsymbolic) categorical representations. Higher-order (3) symbolic representations, grounded in these elementary symbols, consist of symbol strings describing category membership relations (e.g. “An X is a Y that is Z”).

Connectionism is one natural candidate for the mechanism that learns the invariant features underlying categorical representations, thereby connecting names to the proximal projections of the distal objects they stand for. In this way connectionism can be seen as a complementary component in a hybrid nonsymbolic/symbolic model of the mind, rather than a rival to purely symbolic modeling. Such a hybrid model would not have an autonomous symbolic “module,” however; the symbolic functions would emerge as an intrinsically “dedicated” symbol system as a consequence of the bottom-up grounding of categories' names in their sensory representations. Symbol manipulation would be governed not just by the arbitrary shapes of the symbol tokens, but by the nonarbitrary shapes of the icons and category invariants in which they are grounded.},
	number = {1–3},
	urldate = {2014-11-03},
	journal = {Physica D: Nonlinear Phenomena},
	author = {Harnad, Stevan},
	month = jun,
	year = {1990},
	keywords = {vveitas:generative\_model, vveitas:symbol\_grounding},
	pages = {335--346},
	file = {Harnad.1990.TheSymbolGroundingProblem.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Harnad.1990.TheSymbolGroundingProblem.pdf:application/pdf}
}

@article{ziemke_construction_2001,
	title = {The construction of ‘reality’in the robot: {Constructivist} perspectives on situated artificial intelligence and adaptive robotics},
	volume = {6},
	number = {1-3},
	journal = {Foundations of Science},
	author = {Ziemke, Tom},
	year = {2001},
	pages = {163--233},
	file = {Ziemke.2001.TheConstructionOfRealityInTheRobot.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Ziemke.2001.TheConstructionOfRealityInTheRobot.pdf:application/pdf}
}

@article{riegler_radical_2007,
	title = {The radical constructivist dynamics of cognition},
	journal = {The mind, the body and the world: Psychology after cognitivism},
	author = {Riegler, Alexander},
	year = {2007},
	keywords = {vveitas:developmental\_AI},
	pages = {91--115},
	file = {Riegler.2007.TheRadicalConstructivistDynamicsOfCognition.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Riegler.2007.TheRadicalConstructivistDynamicsOfCognition.pdf:application/pdf}
}

@inproceedings{georgeon_interactional_2012,
	title = {Interactional {Motivation} in artificial systems: {Between} extrinsic and intrinsic motivation},
	shorttitle = {Interactional {Motivation} in artificial systems},
	doi = {10.1109/DevLrn.2012.6400833},
	abstract = {This paper introduces Interactional Motivation (IM) as a way to implement self-motivation in artificial systems. An interactionally motivated agent selects behaviors for the sake of enacting the behavior itself rather than for the value of the behavior's outcome. IM contrasts with extrinsic motivation by the fact that it defines the agent's motivation independently from the environment's state. Because IM does not refer to the environment's states, we argue that IM is a form of self-motivation on the same level as intrinsic motivation. IM, however, differs from intrinsic motivation by the fact that IM allows specifying the agent's inborn value system explicitly. This paper introduces a formal definition of the IM paradigm and compares it to the reinforcement-learning paradigm as traditionally implemented in Partially Observable Markov Decision Processes (POMDPs).},
	booktitle = {2012 {IEEE} {International} {Conference} on {Development} and {Learning} and {Epigenetic} {Robotics} ({ICDL})},
	author = {Georgeon, O.L. and Marshall, J.B. and Gay, S.},
	month = nov,
	year = {2012},
	keywords = {vveitas:generative\_model, vveitas:developmental\_AI},
	pages = {1--2},
	file = {Georgeon.EtAl.2012.InteractionalMotivationInArtificialSystems.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Georgeon.EtAl.2012.InteractionalMotivationInArtificialSystems.pdf:application/pdf}
}

@article{kress_new_1993,
	title = {A new approach to cognitive development: ontogenesis and the process of initiation},
	volume = {2},
	shorttitle = {Oliver {Kress} - {A} new approach to cognitive development},
	url = {https://www.academia.edu/663726/Oliver_Kress_-_A_new_approach_to_cognitive_development_ontogenesis_and_the_process_of_initiation},
	abstract = {In the current models of cognitive development some phenomena cannot be categorized: self-actualizing people (Maslow), Buddhism and Taoism. Using Piaget´s genetic epistemology we can argue that the human cognitive system is not flexible enough to},
	number = {4},
	urldate = {2014-11-01},
	journal = {Evolution and Cognition},
	author = {Kress, Oliver},
	year = {1993},
	pages = {316--332},
	file = {Kress.1993.ANewApproachToCognitiveDevelopment.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Kress.1993.ANewApproachToCognitiveDevelopment.pdf:application/pdf}
}

@article{oregan_sensorimotor_2001,
	title = {A sensorimotor account of vision and visual consciousness},
	volume = {24},
	issn = {0140-525X},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/12239892},
	abstract = {Many current neurophysiological, psychophysical, and psychological approaches to vision rest on the idea that when we see, the brain produces an internal representation of the world. The activation of this internal representation is assumed to give rise to the experience of seeing. The problem with this kind of approach is that it leaves unexplained how the existence of such a detailed internal representation might produce visual consciousness. An alternative proposal is made here. We propose that seeing is a way of acting. It is a particular way of exploring the environment. Activity in internal representations does not generate the experience of seeing. The outside world serves as its own, external, representation. The experience of seeing occurs when the organism masters what we call the governing laws of sensorimotor contingency. The advantage of this approach is that it provides a natural and principled way of accounting for visual consciousness, and for the differences in the perceived quality of sensory experience in the different sensory modalities. Several lines of empirical evidence are brought forward in support of the theory, in particular: evidence from experiments in sensorimotor adaptation, visual "filling in," visual stability despite eye movements, change blindness, sensory substitution, and color perception.},
	language = {eng},
	number = {5},
	journal = {The Behavioral and Brain Sciences},
	author = {O'Regan, J. K. and Noë, A.},
	month = oct,
	year = {2001},
	pmid = {12239892},
	keywords = {vveitas:generative\_model, vveitas:developmental\_AI},
	pages = {939--973; discussion 973--1031},
	file = {Oregan.Noe.2001.ASensimotorAccountOfVisionAndVisualConsciusnesspdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Oregan.Noe.2001.ASensimotorAccountOfVisionAndVisualConsciusnesspdf:application/pdf}
}

@book{graziano_consciousness_2013,
	title = {Consciousness and the {Social} {Brain}},
	isbn = {978-0-19-992864-4},
	url = {http://books.google.be/books?id=Ta4eAAAAQBAJ},
	abstract = {What is consciousness and how can a brain, a mere collection of neurons, create it? In Consciousness and the Social Brain, Princeton neuroscientist Michael Graziano lays out an audacious new theory to account for the deepest mystery of them all. The human brain has evolved a complex circuitry that allows it to be socially intelligent. This social machinery has only just begun to be studied in detail. One function of this circuitry is to attribute awareness to others: to compute that person Y is aware of thing X. In Graziano's theory, the machinery that attributes awareness to others also attributes it to oneself. Damage that machinery and you disrupt your own awareness. Graziano discusses the science, the evidence, the philosophy, and the surprising implications of this new theory.},
	language = {en},
	publisher = {Oxford University Press},
	author = {Graziano, Michael S. A.},
	month = sep,
	year = {2013},
	file = {Graziano.2013.ConsciousnessAndTheSocialBrain.pdf:/media/vveitas/LibraryKing/gdrive/vveitas@gmail.com/library/Graziano.2013.ConsciousnessAndTheSocialBrain.pdf:application/pdf}
}

@book{newell_unified_1994,
	title = {Unified {Theories} of {Cognition}},
	isbn = {978-0-674-92101-6},
	url = {http://books.google.be/books?id=1lbY14DmV2cC},
	abstract = {Psychology is now ready for unified theories of cognition--so says Allen Newell, a leading investigator in computer science and cognitive psychology. Not everyone will agree on a single set of mechanisms that will explain the full range of human cognition, but such theories are within reach and we should strive to articulate them.In this book, Newell makes the case for unified theories by setting forth a candidate. After reviewing the foundational concepts of cognitive science--knowledge, representation, computation, symbols, architecture, intelligence, and search--Newell introduces Soar, an architecture for general cognition. A pioneer system in artificial intelligence, Soar is the first problem solver to create its own subgoals and learn continuously from its own experience.Newell shows how Soar's ability to operate within the real-time constraints of intelligent behavior, such as immediate-response and item-recognition tasks, illustrates important characteristics of the human cognitive structure. Throughout, Soar remains an exemplar: we know only enough to work toward a fully developed theory of cognition, but Soar's success so far establishes the viability of the enterprise.Given its integrative approach, Unified Theories of Cognition will be of tremendous interest to researchers in a variety of fields, including cognitive science, artificial intelligence, psychology, and computer science. This exploration of the nature of mind, one of the great problems of philosophy, should also transcend disciplines and attract a large scientific audience.},
	language = {en},
	publisher = {Harvard University Press},
	author = {Newell, Allen},
	month = jan,
	year = {1994},
	file = {Newell.1994.UnifiedTheoriesOfCognition.pdf:/media/vveitas/LibraryKing/gdrive/vveitas@gmail.com/library/Newell.1994.UnifiedTheoriesOfCognition.pdf:application/pdf}
}

@book{xie_dynamic_2013,
	title = {Dynamic {Documents} with {R} and knitr},
	isbn = {978-1-4822-0353-0},
	url = {http://books.google.be/books?id=QZwAAAAAQBAJ},
	abstract = {The cut-and-paste approach to writing statistical reports is not only tedious and laborious, but also can be harmful to scientific research, because it is inconvenient to reproduce the results. Dynamic Documents with R and knitr introduces a new approach via dynamic documents, i.e. integrating computing directly with reporting. A comprehensive guide to the R package knitr, the book covers examples, document editors, basic usage, detailed explanations of a wide range of options, tricks and solutions, extensions, and complete applications of this package. The book provides an overview of dynamic documents, introducing the idea of literate programming. It then explains the importance of dynamic documents to scientific research and its impact on reproducible research. Building on this, the author covers basic concepts, common text editors that support knitr, and the syntax for different document formats such as LaTeX, HTML, and Markdown before going on to discuss core functionality, how to control text and graphics output, caching mechanisms that can reduce computation time, and reuse of source code. He then explores advanced topics such as chunk hooks, integrating other languages such as Python and awk into one report in the knitr framework, and useful tricks that make it easier to write documents with knitr. Discussions of how to publish reports in a variety of formats, applications, and other tools complete the coverage. Suitable for both beginners and advanced users, this book shows you how to write reports in simple languages such as Markdown. The reports range from homework, projects, exams, books, blogs, and web pages to any documents related to statistical graphics, computing, and data analysis. While familiarity with LaTeX and HTML is helpful, the book requires no prior experience with advanced programs or languages. For beginners, the text provides enough features to get started on basic applications. For power users, the last several chapters enable an understanding of the extensibility of the knitr package.},
	language = {en},
	publisher = {CRC Press},
	author = {Xie, Yihui},
	month = jul,
	year = {2013},
	file = {Xie.2013.DynamicDocumentsWithRAndknitr.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Xie.2013.DynamicDocumentsWithRAndknitr.pdf:application/pdf}
}

@book{baars_cognition_2010,
	title = {Cognition, {Brain}, and {Consciousness}: {Introduction} to {Cognitive} {Neuroscience}},
	isbn = {978-0-12-381440-1},
	shorttitle = {Cognition, {Brain}, and {Consciousness}},
	abstract = {ELSEVIER SALE - ALL SCIENCE AND TECHNOLOGY BOOKS 50\% OFF - ONE WEEK ONLYCognition, Brain and Consciousness provides students and readers with an overview of the study of the human brain and its cognitive development. It discusses brain molecules and their primary function, which is to help carry brain signals to and from the different parts of the human body. These molecules are also essential for understanding language, learning, perception, thinking, and other cognitive functions of our brain. The book also presents the tools that can be used to view the human brain through brain imaging or recording. Brain recording is used to measure electric and magnetic signals in our brain. The most precise recording method is the single neuron or unit recording that uses deep needle electrodes implanted in the brain. In addition, the book discusses peoples consciousness and attention spans, which are considered complementary processes. Learning and memory capacity of the brain are also discussed. The study of cognitive neuroscience is very challenging, as every aspect of the human brain must be studied to fully understand how the brain works.New edition of a very successful textbookCompletely revised to reflect new advances, and feedback from adopters and studentsIncludes a new chapter on Genes and Molecules of CognitionStudent Solutions available at http://www.baars-gage.com/ For Teachers:  Rapid adoption and course preparation: A wide array of instructor support materials are available online including PowerPoint lecture slides, a test bank with answers, and eFlashcords on key concepts for each chapter. A textbook with an easy-to-understand thematic approach: in a way that is clear for students from a variety of academic backgrounds, the text introduces concepts such as working memory, selective attention, and social cognition.A step-by-step guide for introducing students to brain anatomy: color graphics have been carefully selected to illustrate all points and the research explained. Beautifully clear artist\&\#39;s drawings are used to \&\#39;build a brain\&\#39; from top to bottom, simplifying the layout of the brain.  For students:  An easy-to-read, complete introduction to mind-brain science: all chapters begin from mind-brain functions and build a coherent picture of their brain basis. A single, widely accepted functional framework is used to capture the major phenomena. Learning Aids include a student support site with study guides and exercises, a new Mini-Atlas of the Brain and a full Glossary of technical terms and their definitions.Richly illustrated with hundreds of carefully selected color graphics to enhance understanding.},
	language = {en},
	publisher = {Academic Press},
	author = {Baars, Bernard J. and Gage, Nicole M.},
	month = feb,
	year = {2010},
	file = {Baars.Gage.2010.CognitionBrainAndConsciousness.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Baars.Gage.2010.CognitionBrainAndConsciousness.pdf:application/pdf}
}

@book{raynal_distributed_2013,
	title = {Distributed {Algorithms} for {Message}-{Passing} {Systems}},
	isbn = {978-3-642-38123-2},
	abstract = {Distributed computing is at the heart of many applications. It arises as soon as one has to solve a problem in terms of entities -- such as processes, peers, processors, nodes, or agents -- that individually have only a partial knowledge of the many input parameters associated with the problem. In particular each entity cooperating towards the common goal cannot have an instantaneous knowledge of the current state of the other entities. Whereas parallel computing is mainly concerned with \&\#39;efficiency\&\#39;, and real-time computing is mainly concerned with \&\#39;on-time computing\&\#39;, distributed computing is mainly concerned with \&\#39;mastering uncertainty\&\#39; created by issues such as the multiplicity of control flows, asynchronous communication, unstable behaviors, mobility, and dynamicity.  While some distributed algorithms consist of a few lines only, their behavior can be difficult to understand and their properties hard to state and prove. The aim of this book is to present in a comprehensive way the basic notions, concepts, and algorithms of distributed computing when the distributed entities cooperate by sending and receiving messages on top of an asynchronous network. The book is composed of seventeen chapters structured into six parts: distributed graph algorithms, in particular what makes them different from sequential or parallel algorithms; logical time and global states, the core of the book; mutual exclusion and resource allocation; high-level communication abstractions; distributed detection of properties; and distributed shared memory. The author establishes clear objectives per chapter and the content is supported throughout with illustrative examples, summaries, exercises, and annotated bibliographies. This book constitutes an introduction to distributed computing and is suitable for advanced undergraduate students or graduate students in computer science and computer engineering, graduate students in mathematics interested in distributed computing, and practitioners and engineers involved in the design and implementation of distributed applications. The reader should have a basic knowledge of algorithms and operating systems.},
	language = {en},
	publisher = {Springer Science \& Business Media},
	author = {Raynal, Michel},
	month = jun,
	year = {2013},
	keywords = {vveitas:generative\_model, vveitas:distributed\_systems, vveitas:challprop},
	file = {Michel.2013.DistributedAlgorithmsForMessagePassing.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Michel.2013.DistributedAlgorithmsForMessagePassing.pdf:application/pdf}
}

@book{hastie_elements_2011,
	address = {New York, NY},
	edition = {2nd ed. 2009. Corr. 7th printing 2013 edition},
	title = {The {Elements} of {Statistical} {Learning}: {Data} {Mining}, {Inference}, and {Prediction}, {Second} {Edition}},
	isbn = {978-0-387-84857-0},
	shorttitle = {The {Elements} of {Statistical} {Learning}},
	abstract = {During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression \& path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for ``wide'' data (p bigger than n), including multiple testing and false discovery rates.},
	language = {English},
	publisher = {Springer},
	author = {Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome},
	month = apr,
	year = {2011},
	file = {Hastie.EtAl.2011.TheElementsOfStatisticalLearning.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Hastie.EtAl.2011.TheElementsOfStatisticalLearning.pdf:application/pdf}
}

@article{froese_enactive_2009,
	title = {Enactive artificial intelligence: {Investigating} the systemic organization of life and mind},
	volume = {173},
	issn = {0004-3702},
	shorttitle = {Enactive artificial intelligence},
	url = {http://www.sciencedirect.com/science/article/pii/S0004370208002105},
	doi = {10.1016/j.artint.2008.12.001},
	abstract = {The embodied and situated approach to artificial intelligence (AI) has matured and become a viable alternative to traditional computationalist approaches with respect to the practical goal of building artificial agents, which can behave in a robust and flexible manner under changing real-world conditions. Nevertheless, some concerns have recently been raised with regard to the sufficiency of current embodied AI for advancing our scientific understanding of intentional agency. While from an engineering or computer science perspective this limitation might not be relevant, it is of course highly relevant for AI researchers striving to build accurate models of natural cognition. We argue that the biological foundations of enactive cognitive science can provide the conceptual tools that are needed to diagnose more clearly the shortcomings of current embodied AI. In particular, taking an enactive perspective points to the need for AI to take seriously the organismic roots of autonomous agency and sense-making. We identify two necessary systemic requirements, namely constitutive autonomy and adaptivity, which lead us to introduce two design principles of enactive AI. It is argued that the development of such enactive AI poses a significant challenge to current methodologies. However, it also provides a promising way of eventually overcoming the current limitations of embodied AI, especially in terms of providing fuller models of natural embodied cognition. Finally, some practical implications and examples of the two design principles of enactive AI are also discussed.},
	number = {3–4},
	urldate = {2014-10-21},
	journal = {Artificial Intelligence},
	author = {Froese, Tom and Ziemke, Tom},
	month = mar,
	year = {2009},
	pages = {466--500},
	file = {Froese.Ziemke.2009.EnactiveArtificialIntelligence.pdf:/media/vveitas/LibraryKing/gdrive/vveitas@gmail.com/library/Froese.Ziemke.2009.EnactiveArtificialIntelligence.pdf:application/pdf}
}

@article{froese_enactive_2011,
	title = {The enactive approach: {Theoretical} sketches from cell to society},
	volume = {19},
	shorttitle = {The enactive approach},
	doi = {10.1075/pc.19.1.01fro},
	abstract = {There is a small but growing community of researchers spanning a spectrum of disciplines which are united in rejecting the still dominant computationalist paradigm in favor of the enactive approach. The framework of this approach is centered on a core set of ideas, such as autonomy, sense-making, emergence, embodiment, and experience. These concepts are finding novel applications in a diverse range of areas. One hot topic has been the establishment of an enactive approach to social interaction. The main purpose of this paper is to serve as an advanced entry point into these recent developments. It accomplishes this task in a twofold manner: (i) it provides a succinct synthesis of the most important core ideas and arguments in the theoretical framework of the enactive approach, and (ii) it uses this synthesis to refine the current enactive approach to social interaction. A new operational definition of social interaction is proposed which not only emphasizes the cognitive agency of the individuals and the irreducibility of the interaction process itself, but also the need for jointly co-regulated action. It is suggested that this revised conception of ‘socio-cognitive interaction’ may provide the necessary middle ground from which to understand the confluence of biological and cultural values in personal action.},
	number = {1},
	journal = {Pragmatics \& Cognition},
	author = {Froese, Tom and Paolo, Ezequiel A., Di},
	month = jan,
	year = {2011},
	pages = {1--36},
	file = {Froese.DiPaolo.2011.TheEnactiveApproachTheoreticalSketchesFromCellToSociety.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Froese.DiPaolo.2011.TheEnactiveApproachTheoreticalSketchesFromCellToSociety.pdf:application/pdf}
}

@article{paolo_extended_2009,
	title = {Extended {Life}},
	volume = {28},
	issn = {0167-7411, 1572-8749},
	url = {http://link.springer.com/article/10.1007/s11245-008-9042-3},
	doi = {10.1007/s11245-008-9042-3},
	abstract = {This paper reformulates some of the questions raised by extended mind theorists from an enactive, life/mind continuity perspective. Because of its reliance on concepts such as autopoiesis, the enactive approach has been deemed internalist and thus incompatible with the extended mind hypothesis. This paper answers this criticism by showing (1) that the relation between organism and cogniser is not one of co-extension, (2) that cognition is a relational phenomenon and thereby has no location, and (3) that the individuality of a cogniser is inevitably linked with the question of its autonomy, a question ignored by the extended mind hypothesis but for which the enactive approach proposes a precise, operational, albeit non-functionalist answer. The paper raises a pespective of embedded and intersecting forms of autonomous identity generation, some of which correspond to the canonical cases discussed in the extended mind literature, but on the whole of wider generality. In addressing these issues, this paper proposes unbiased, non-species specific definitions of cognition, agency and mediation, thus filling in gaps in the extended mind debates that have led to paradoxical situations and a problematic over-reliance on intutions about what counts as cognitive.},
	language = {en},
	number = {1},
	urldate = {2014-10-21},
	journal = {Topoi},
	author = {Paolo, Ezequiel Di},
	month = mar,
	year = {2009},
	pages = {9--21},
	file = {DiPaolo.2010.ExtendedLifeFinal.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/DiPaolo.2010.ExtendedLifeFinal.pdf:application/pdf}
}

@article{pessoa_cognition_2009,
	title = {Cognition and emotion},
	volume = {4},
	issn = {1941-6016},
	url = {http://www.scholarpedia.org/article/Cognition_and_emotion},
	doi = {10.4249/scholarpedia.4567},
	language = {en},
	number = {1},
	urldate = {2014-10-13},
	journal = {Scholarpedia},
	author = {Pessoa, Luiz},
	year = {2009},
	keywords = {vveitas:cognitive\_development},
	pages = {4567},
	file = {Pessoa.2009.CognitionAndEmotion.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Pessoa.2009.CognitionAndEmotion.pdf:application/pdf}
}

@article{fellous_human_2004,
	title = {From human emotions to robot emotions},
	journal = {Architectures for Modeling Emotion: Cross-Disciplinary Foundations, American Association for Artificial Intelligence},
	author = {Fellous, Jean-Marc},
	year = {2004},
	keywords = {vveitas:cognitive\_development},
	pages = {39--46},
	file = {Fellous.2004.FromHumanEmotionsToRobotEmotions.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Fellous.2004.FromHumanEmotionsToRobotEmotions.pdf:application/pdf}
}

@article{fellous_neuromodulatory_1999,
	title = {Neuromodulatory {Basis} of {Emotion}},
	volume = {5},
	issn = {1073-8584, 1089-4098},
	url = {http://nro.sagepub.com/content/5/5/283},
	doi = {10.1177/107385849900500514},
	abstract = {The neural basis of emotion can be found in both the neural computation and the neuromodulation of the neural substrate that mediates behavior. I review the experimental evidence showing the involvement of the hypothalamus, the amygdala, and the prefrontal cortex in emotion. For each of these structures, I show the important role of various neuromodulatory systems in mediating emotional behavior. Generalizing, I suggest that behavioral complexity is caused partly by the diversity and intensity of neuromodulation and hence depends on emotional contexts. Rooting the emotional state in neuromodulatory phenomena allows for its quantitative and scientific study and possibly its characterization. NEUROSCIENTIST 5:283-294, 1999},
	language = {en},
	number = {5},
	urldate = {2014-10-12},
	journal = {The Neuroscientist},
	author = {Fellous, Jean-Marc},
	month = sep,
	year = {1999},
	keywords = {vveitas:cognitive\_development},
	pages = {283--294},
	file = {Fellous.1999.NeuromodulatoryBasisOfEmotion.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Fellous.1999.NeuromodulatoryBasisOfEmotion.pdf:application/pdf}
}

@article{niazi_towards_2011,
	title = {Towards {A} {Novel} {Unified} {Framework} for {Developing} {Formal}, {Network} and {Validated} {Agent}-{Based} {Simulation} {Models} of {Complex} {Adaptive} {Systems}},
	url = {http://dspace.stir.ac.uk/handle/1893/3365},
	abstract = {Literature on the modeling and simulation of complex adaptive systems (cas) has primarily advanced vertically in different scientific domains with scientists developing a
variety of domain-specific approaches and applications. However, while cas researchers
are inherently interested in an interdisciplinary comparison of models, to the best of our knowledge, there is currently no single unified framework for facilitating the development, comparison, communication and validation of models across different scientific domains.
In this thesis, we propose first steps towards such a unified framework using a combination of agent-based and complex network-based modeling approaches and guidelines formulated in the form of a set of four levels of usage, which allow multidisciplinary researchers
to adopt a suitable framework level on the basis of available data types, their research
study objectives and expected outcomes, thus allowing them to better plan and conduct
their respective research case studies.
Firstly, the complex network modeling level of the proposed framework entails the development of appropriate complex network models for the case where interaction data of
cas components is available, with the aim of detecting emergent patterns in the cas under
study. The exploratory agent-based modeling level of the proposed framework allows for
the development of proof-of-concept models for the cas system, primarily for purposes of
exploring feasibility of further research. Descriptive agent-based modeling level of the
proposed framework allows for the use of a formal step-by-step approach for developing
agent-based models coupled with a quantitative complex network and pseudocode-based specification of the model, which will, in turn, facilitate interdisciplinary cas model comparison and knowledge transfer. Finally, the validated agent-based modeling level of the proposed framework is concerned with the building of in-simulation verification and validation of agent-based models using a proposed Virtual Overlay Multiagent System approach for use in a systematic team-oriented approach to developing models. The proposed framework is evaluated and validated using seven detailed case study examples selected from various scientific domains including ecology, social sciences and a range of complex adaptive communication networks. The successful case studies demonstrate the potential of the framework in appealing to multidisciplinary researchers as a methodological approach to the modeling and simulation of cas by facilitating effective communication and knowledge transfer across scientific disciplines without the requirement of extensive learning curves.},
	language = {en},
	urldate = {2014-10-10},
	author = {Niazi, Muaz A. K.},
	month = jun,
	year = {2011}
}

@book{damasio_descartes_2008,
	title = {Descartes' {Error}: {Emotion}, {Reason} and the {Human} {Brain}},
	isbn = {978-1-4070-7206-7},
	shorttitle = {Descartes' {Error}},
	abstract = {In the centuries since Descartes famously proclaimed, 'I think, therefore I am,' science has often overlooked emotions as the source of a person's true being. Even modern neuroscience has tended until recently to concentrate on the cognitive aspects of brain function, disregarding emotions. This attitude began to change with the publication of Descartes' Error. Antonio Damasio challenged traditional ideas about the connection between emotions and rationality. In this wonderfully engaging book, Damasio takes the reader on a journey of scientific discovery through a series of case studies, demonstrating what many of us have long suspected: emotions are not a luxury, they are essential to rational thinking and to normal social behaviour.},
	language = {en},
	publisher = {Random House},
	author = {Damasio, Antonio},
	month = sep,
	year = {2008},
	keywords = {vveitas:cognitive\_development},
	file = {Damasio.1994.DescartesErrorEmotionReasonAndTheHumanBrain.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Damasio.1994.DescartesErrorEmotionReasonAndTheHumanBrain.pdf:application/pdf}
}

@book{damasio_self_2010,
	title = {Self {Comes} to {Mind}: {Constructing} the {Conscious} {Brain}},
	isbn = {978-0-307-37949-8},
	shorttitle = {Self {Comes} to {Mind}},
	url = {http://books.google.be/books?id=AEz_uQGw9RcC},
	abstract = {From one of the most significant neuroscientists at work today, a pathbreaking investigation of a question that has confounded philosophers, psychologists, and neuroscientists for centuries: how is consciousness created?  Antonio Damasio has spent the past thirty years studying and writing about how the brain operates, and his work has garnered acclaim for its singular melding of the scientific and the humanistic. In Self Comes to Mind, he goes against the long-standing idea that consciousness is somehow separate from the body, presenting compelling new scientific evidence that consciousness—what we think of as a mind with a self—is to begin with a biological process created by a living organism. Besides the three traditional perspectives used to study the mind (the introspective, the behavioral, and the neurological), Damasio introduces an evolutionary perspective that entails a radical change in the way the history of conscious minds is viewed and told. He also advances a radical hypothesis regarding the origins and varieties of feelings, which is central to his framework for the biological construction of consciousness: feelings are grounded in a near fusion of body and brain networks, and first emerge from the historically old and humble brain stem rather than from the modern cerebral cortex.  Damasio suggests that the brain’s development of a human self becomes a challenge to nature’s indifference and opens the way for the appearance of culture, a radical break in the course of evolution and the source of a new level of life regulation—sociocultural homeostasis. He leaves no doubt that the blueprint for the work-in-progress he calls sociocultural homeostasis is the genetically well-established basic homeostasis, the curator of value that has been present in simple life-forms for billions of years. Self Comes to Mind is a groundbreaking journey into the neurobiological foundations of mind and self.From the Hardcover edition.},
	language = {en},
	publisher = {Knopf Doubleday Publishing Group},
	author = {Damasio, Antonio},
	month = nov,
	year = {2010},
	keywords = {vveitas:cognitive\_development},
	file = {Damasio.2010.SelfComesToMindConstructing.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Damasio.2010.SelfComesToMindConstructing.pdf:application/pdf}
}

@article{kohlberg_adolescent_1971,
	title = {The adolescent as a philosopher: {The} discovery of the self in a postconventional world},
	journal = {Daedalus},
	author = {Kohlberg, Lawrence and Gilligan, Carol},
	year = {1971},
	pages = {1051--1086},
	file = {Kohlberg.Gilligan.1971.TheAdolescentAsPhilosopher.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Kohlberg.Gilligan.1971.TheAdolescentAsPhilosopher.pdf:application/pdf}
}

@book{schacter_psychology_2010,
	title = {Psychology},
	isbn = {978-1-4292-3719-2},
	abstract = {Your students may forget it’s a textbook. But they will always remember what they learn.View a sample chapter and student video reviews at www.worthpublishers.com/thedans Their research continues to change the way psychology is taught. Their teaching has inspired thousands of students. Their writing fascinates readers and vividly shows how psychological science is relevant to their lives. So it was no surprise that Dan Schacter, Dan Gilbert, and Dan Wegner’s introductory psychology textbook was a breakout success.  With the new edition, Psychology is more than ever a book instructors are looking for—a text that students will read and keep reading.  Thoroughly updated, the new edition is filled with captivating stories of real people and breakthrough research, plus a variety of proven and effective new learning tools, all carried along by the Dans’ uncanny way of making the story of psychological principles as riveting and enriching as reading a great book.},
	language = {en},
	publisher = {Worth Publishers},
	author = {Schacter, Daniel L. and Gilbert, Daniel T. and Wegner, Daniel M.},
	month = dec,
	year = {2010},
	keywords = {vveitas:cognitive\_development},
	file = {Schacter.EtAl.2009.Psychology.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Schacter.EtAl.2009.Psychology.pdf:application/pdf}
}

@incollection{thagard_conceptual_2006,
	title = {Conceptual {Change}},
	copyright = {Copyright © 2006 John Wiley \& Sons, Ltd},
	isbn = {978-0-470-01886-6},
	url = {http://onlinelibrary.wiley.com/doi/10.1002/0470018860.s00500/abstract},
	abstract = {Conceptual change is the creation and alteration of mental representations that correspond to words. It is an important part of learning in science and everyday life.},
	language = {en},
	urldate = {2014-09-26},
	booktitle = {Encyclopedia of {Cognitive} {Science}},
	publisher = {John Wiley \& Sons, Ltd},
	author = {Thagard, Paul},
	year = {2006},
	file = {Thagard.2006.ConceptualChange.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Thagard.2006.ConceptualChange.pdf:application/pdf}
}

@incollection{gershenson_simplicity_2007,
	address = {University of Liverpool, UK},
	title = {Simplicity is {Not} {Truth}-{Indicative}},
	isbn = {978-981-270-548-8},
	abstract = {Scientific, technological, and cultural changes have always had an impact upon philosophy. They can force a change in the way we perceive the world, reveal new kinds of phenomena to be understood, and provide new ways of understanding phenomena. Complexity science, immersed in a culture of information, is having a diverse but particularly significant impact upon philosophy. Previous ideas do not necessarily sit comfortably with the new paradigm, resulting in new ideas or new interpretations of old ideas. In this unprecedented interdisciplinary volume, researchers from different backgrounds join efforts to update thinking upon philosophical questions with developments in the scientific study of complex systems. The contributions focus on a wide range of topics, but share the common goal of increasing our understanding and improving our descriptions of our complex world. This revolutionary debate includes contributions from leading experts, as well as young researchers proposing fresh ideas.},
	language = {en},
	booktitle = {Worldviews, {Science} and {Us}: {Philosophy} and {Complexity}},
	publisher = {World Scientific},
	author = {Edmonds, Bruce},
	editor = {Gershenson, Carlos and Aerts, Diederik and Edmonds, Bruce},
	year = {2007},
	file = {Edmonds.2005.SimplicityIsNotTruthIndicative.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Edmonds.2005.SimplicityIsNotTruthIndicative.pdf:application/pdf}
}

@article{cooper_new_1984,
	title = {A new look at dissonance theory},
	volume = {17},
	journal = {Advances in experimental social psychology},
	author = {Cooper, Joel and Fazio, Russel H},
	year = {1984},
	keywords = {vveitas:cognitive\_development},
	pages = {229--266},
	file = {Cooper.Fazio.1984.ANewLookAtDissonanceTheory.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Cooper.Fazio.1984.ANewLookAtDissonanceTheory.pdf:application/pdf}
}

@incollection{harmon-jones_cognitive_2012,
	address = {Thousand Oaks, CA},
	title = {Cognitive {Dissonance} {Theory}},
	url = {http://www.socialemotiveneuroscience.org/pubs/ehj_dissonance_encyclopedia_human_minda.pdf},
	booktitle = {Encyclopedia of {Mind}},
	publisher = {Sage Publications},
	author = {Harmon-Jones, Eddie},
	editor = {Pashler, Harold and Crane, F and Kinsbourne, M and Zemel, R},
	year = {2012},
	keywords = {vveitas:cognitive\_development},
	file = {Harmon-Jones.2012.CognitiveDissonanceTheory.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Harmon-Jones.2012.CognitiveDissonanceTheory.pdf:application/pdf}
}

@article{shultz_cognitive_1996,
	title = {Cognitive dissonance reduction as constraint satisfaction},
	volume = {103},
	issn = {0033-295X},
	abstract = {A constraint satisfaction neural network model (the consonance model) simulated data from the two major cognitive dissonance paradigms of insufficient justification and free choice. In several cases, the model fit the human data better than did cognitive dissonance theory. Superior fits were due to the inclusion of constraints that were not part of dissonance theory and to the increased precision inherent to this computational approach. Predictions generated by the model for a free choice between undesirable alternatives were confirmed in a new psychological experiment. The success of the consonance model underscores important, unforeseen similarities between what had been formerly regarded as the rather exotic process of dissonance reduction and a variety of other, more mundane psychological processes. Many of these processes can be understood as the progressive application of constraints supplied by beliefs and attitudes.},
	language = {eng},
	number = {2},
	journal = {Psychological Review},
	author = {Shultz, T. R. and Lepper, M. R.},
	month = apr,
	year = {1996},
	pmid = {8637960},
	keywords = {vveitas:cognitive\_development},
	pages = {219--240},
	file = {Shultz.Lepper.1996.CognitiveDissonanceReductionAsConstraintSatisfaction.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Shultz.Lepper.1996.CognitiveDissonanceReductionAsConstraintSatisfaction.pdf:application/pdf}
}

@book{cooper_cognitive_2007,
	title = {Cognitive {Dissonance}: 50 {Years} of a {Classic} {Theory}},
	isbn = {978-1-84920-344-9},
	shorttitle = {Cognitive {Dissonance}},
	abstract = {'Dr. Joel Cooper has been at the very forefront of research on dissonance theory for decades now. In this book, he provides a brilliant and engagingly-written review of the 50-year history of dissonance research and a masterful account of the ensuing developments in the theory. The book will be an outstanding resource for readers familiar with dissonance research and an enlightening introduction for those who are not'  - Professor Russell H. Fazio, Ohio State University  Why is it that people who smoke continue to do so knowing how bad it is for them? What drives people to committing adultery even though they inherently believe this is wrong? What's the outcome of this contradiction in the mind?   Cognitive dissonance has been an important and influential theory since Leon Festinger published his classic work in 1957. It is known by every social psychologist, most psychologists of any stripe, and the lay public, making its way into such mainstream publications as The New York Times with increasing frequency and accuracy. Ultimately, dissonance has become one of the most popularly known expressions of social psychological insights, making its way into the literature in consumer, health and economic behavior, and has become a frequently used explanation of political behavior in the popular press and magazines.   In marking the 50th anniversary of the theory's inception, Joel Cooper - arguably the scholar most associated with dissonance research in the past few decades - has presented a beautiful, modern and comprehensive analysis of the state of dissonance theory. This book charts the progress of dissonance theory, assessing its impact not only within our understanding of psychology but in everyday experiences as well. It should be important reading for students in social psychology, either undergraduate or graduate, but equally relevant to a host of other readers who need to understand or share the same passions for appreciating the significance of cognitive dissonance in the human psyche.},
	language = {en},
	publisher = {SAGE},
	author = {Cooper, Joel},
	month = mar,
	year = {2007},
	keywords = {vveitas:cognitive\_development},
	file = {Cooper.2007.CognitiveDissonance50Year.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Cooper.2007.CognitiveDissonance50Year.pdf:application/pdf}
}

@article{de_jaegher_can_2010,
	title = {Can social interaction constitute social cognition?},
	volume = {14},
	issn = {1879-307X},
	doi = {10.1016/j.tics.2010.06.009},
	abstract = {An important shift is taking place in social cognition research, away from a focus on the individual mind and toward embodied and participatory aspects of social understanding. Empirical results already imply that social cognition is not reducible to the workings of individual cognitive mechanisms. To galvanize this interactive turn, we provide an operational definition of social interaction and distinguish the different explanatory roles - contextual, enabling and constitutive - it can play in social cognition. We show that interactive processes are more than a context for social cognition: they can complement and even replace individual mechanisms. This new explanatory power of social interaction can push the field forward by expanding the possibilities of scientific explanation beyond the individual.},
	language = {eng},
	number = {10},
	journal = {Trends in Cognitive Sciences},
	author = {De Jaegher, Hanne and Di Paolo, Ezequiel and Gallagher, Shaun},
	month = oct,
	year = {2010},
	pmid = {20674467},
	keywords = {vveitas:cognitive\_development, vveitas:social\_cognition},
	pages = {441--447},
	file = {DeJaegher.EtAl.2010.CansocialInteractinConsituteSocialCognition.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/DeJaegher.EtAl.2010.CansocialInteractinConsituteSocialCognition.pdf:application/pdf}
}

@article{camerer_neuroeconomics:_2005,
	title = {Neuroeconomics: {How} {Neuroscience} {Can} {Inform} {Economics}},
	volume = {43},
	issn = {0022-0515},
	shorttitle = {Neuroeconomics},
	url = {https://www.aeaweb.org/articles.php?doi=10.1257/0022051053737843},
	doi = {10.1257/0022051053737843},
	language = {en},
	number = {1},
	urldate = {2014-09-22},
	journal = {Journal of Economic Literature},
	author = {Camerer, Colin and Loewenstein, George and Prelec, Drazen},
	month = mar,
	year = {2005},
	pages = {9--64},
	file = {Camerer.EtAl.2005.NeuroeconomicsHowNeoroscienceCanInformEconomics.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Camerer.EtAl.2005.NeuroeconomicsHowNeoroscienceCanInformEconomics.pdf:application/pdf}
}

@article{lieberman_social_2007,
	title = {Social {Cognitive} {Neuroscience}: {A} {Review} of {Core} {Processes}},
	volume = {58},
	shorttitle = {Social {Cognitive} {Neuroscience}},
	url = {http://dx.doi.org/10.1146/annurev.psych.58.110405.085654},
	doi = {10.1146/annurev.psych.58.110405.085654},
	number = {1},
	urldate = {2014-09-22},
	journal = {Annual Review of Psychology},
	author = {Lieberman, Matthew D.},
	year = {2007},
	pmid = {17002553},
	keywords = {vveitas:cognitive\_development},
	pages = {259--289},
	file = {Lieberman.2007.SocialCognitiveNeuroscienceAReviewOfCoreProcesses.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Lieberman.2007.SocialCognitiveNeuroscienceAReviewOfCoreProcesses.pdf:application/pdf}
}

@article{di_paolo_interactive_2012,
	title = {The interactive brain hypothesis},
	volume = {6},
	url = {http://journal.frontiersin.org/Journal/10.3389/fnhum.2012.00163/full},
	doi = {10.3389/fnhum.2012.00163},
	abstract = {Enactive approaches foreground the role of interpersonal interaction in explanations of social understanding. This motivates, in combination with a recent interest in neuroscientific studies involving actual interactions, the question of how interactive processes relate to neural mechanisms involved in social understanding. We introduce the Interactive Brain Hypothesis (IBH) in order to help map the spectrum of possible relations between social interaction and neural processes. The hypothesis states that interactive experience and skills play enabling roles in both the development and current function of social brain mechanisms, even in cases where social understanding happens in the absence of immediate interaction. We examine the plausibility of this hypothesis against developmental and neurobiological evidence and contrast it with the widespread assumption that mindreading is crucial to all social cognition. We describe the elements of social interaction that bear most directly on this hypothesis and discuss the empirical possibilities open to social neuroscience. We propose that the link between coordination dynamics and social understanding can be best grasped by studying transitions between states of coordination. These transitions form part of the self-organization of interaction processes that characterize the dynamics of social engagement. The patterns and synergies of this self-organization help explain how individuals understand each other. Various possibilities for role-taking emerge during interaction, determining a spectrum of participation. This view contrasts sharply with the observational stance that has guided research in social neuroscience until recently. We also introduce the concept of readiness to interact to describe the practices and dispositions that are summoned in situations of social significance (even if not interactive). This latter idea links interactive factors to more classical observational scenarios.},
	urldate = {2014-09-22},
	journal = {Frontiers in Human Neuroscience},
	author = {Di Paolo, Ezequiel Alejandro and De Jaegher, Hanne},
	year = {2012},
	keywords = {vveitas:cognitive\_development},
	pages = {163},
	file = {DiPaolo.Jaegher.2012.TheInteractiveBrainHypothesis.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/DiPaolo.Jaegher.2012.TheInteractiveBrainHypothesis.pdf:application/pdf}
}

@inproceedings{mansinghka_structured_2006,
	address = {Arlington, Virginia},
	title = {Structured {Priors} for {Structure} {Learning}},
	booktitle = {Proceedings of the {Twenty}-{Second} {Conference} {Annual} {Conference} on {Uncertainty} in {Artificial} {Intelligence} ({UAI}-06)},
	publisher = {AUAI Press},
	author = {Mansinghka, Vikash and Kemp, Charles and Griffiths, Thomas and Tenenbaum, Joshua},
	year = {2006},
	pages = {324--331},
	file = {Mansinghka.EtAl.2006.StructuredPriorsForStructureLearning.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Mansinghka.EtAl.2006.StructuredPriorsForStructureLearning.pdf:application/pdf}
}

@article{edelman_synthetic_1992,
	title = {Synthetic neural modeling applied to a real-world artifact},
	volume = {89},
	issn = {0027-8424, 1091-6490},
	url = {http://www.pnas.org/content/89/15/7267},
	abstract = {We describe the general design, operating principles, and performance of a neurally organized, multiply adaptive device (NOMAD) under control of a nervous system simulated in a computer. The complete system, Darwin IV, is the latest in a series of models based on the theory of neuronal group selection, which postulates that adaptive behavior is the result of selection in somatic time among synaptic populations. The simulated brain of Darwin IV includes visual and motor areas that are connected with NOMAD by telemetry. Under suitable conditions, Darwin IV can be trained to track a light moving in a random path. After such training, it can approach colored blocks and collect them to a home position. Following a series of contacts with such blocks, value signals received through a "snout" that senses conductivity allow it to sort these blocks on the basis of differences in color associated with differences in their conductivity. Darwin IV represents a new approach to synthetic neural modeling (SNM), a technique in which large-scale computer simulations are employed to analyze the interactions among the nervous system, the phenotype, and the environment of a designed organism as behavior develops. Darwin IV retains the advantages of SNM while avoiding the difficulties and pitfalls of attempting to simulate a rich environment in addition to a brain.},
	language = {en},
	number = {15},
	urldate = {2014-09-17},
	journal = {Proceedings of the National Academy of Sciences},
	author = {Edelman, G. M. and Reeke, G. N. and Gall, W. E. and Tononi, G. and Williams, D. and Sporns, O.},
	month = aug,
	year = {1992},
	pmid = {1496021},
	pages = {7267--7271},
	file = {Edelman.EtAl.1992SyntheticNeuralModellingAppliedToRealWorldAratifact.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Edelman.EtAl.1992SyntheticNeuralModellingAppliedToRealWorldAratifact.pdf:application/pdf}
}

@techreport{numenta_hierarchical_2011,
	type = {White {Paper}},
	title = {Hierarchical {Temporal} {Memory} including {HTM} cortical {Learning} {Algorithms}},
	urldate = {2014-04-28},
	author = {Numenta},
	month = sep,
	year = {2011},
	keywords = {vveitas:cognitive\_development},
	file = {Numenta.2011.HTMCorticalLearningAlgorithms.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Numenta.2011.HTMCorticalLearningAlgorithms.pdf:application/pdf}
}

@article{heylighen_self-organization_2011,
	title = {Self-organization of complex, intelligent systems: an action ontology for transdisciplinary integration},
	url = {http://pespmc1.vub.ac.be/papers/ECCO-paradigm.pdf},
	journal = {Integral Review},
	author = {Heylighen, Francis},
	year = {2011},
	file = {Heylighen.2011.SelfOrganizationOfComplexIntelligentSystems.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Heylighen.2011.SelfOrganizationOfComplexIntelligentSystems.pdf:application/pdf}
}

@article{stuart_amplification_1995,
	title = {Amplification of {EPSPs} by axosomatic sodium channels in neocortical pyramidal neurons},
	volume = {15},
	issn = {0896-6273},
	url = {http://www.sciencedirect.com/science/article/pii/0896627395900950},
	doi = {10.1016/0896-6273(95)90095-0},
	abstract = {Simultaneous somatic and dendritic recordings were made from the same neocortical layer V pyramidal neuron, and current injection via the dendritic recording pipette was used to simulate the voltage change that occurs during an EPSP. At the soma, these simulated EPSPs increased nonlinearly with the amplitude of the dendritic current injection and with depolarization of the membrane potential. Bath application of the sodium channel blocker TTX decreased large (\>5 mV) EPSPs and also blocked amplification of EPSPs at depolarized membrane potentials, whereas calcium channel blockers had little effect. Local application of TTX to the soma and axon blocked EPSP amplification, whereas dendritic application had little effect. Simultaneous somatic and axonal recordings demonstrated that EPSP amplification was largest in the axon. These results show that EPSPs are amplified by voltage-activated sodium channels located close to the soma and in the axon.},
	number = {5},
	urldate = {2014-09-15},
	journal = {Neuron},
	author = {Stuart, Greg and Sakmann, Bert},
	month = nov,
	year = {1995},
	keywords = {vveitas:cognitive\_development},
	pages = {1065--1076},
	file = {Stuart.Sakmann.1995.AmplificationOfEPSPsByaxomosmatixSodiumChannels.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Stuart.Sakmann.1995.AmplificationOfEPSPsByaxomosmatixSodiumChannels.pdf:application/pdf}
}

@article{simondon_position_2009,
	title = {The {Position} of the {Problem} of {Ontogenesis}},
	volume = {7},
	url = {http://philpapers.org/rec/SIMTPO-21},
	journal = {Parrhesia},
	author = {Simondon, Gilbert},
	year = {2009},
	pages = {4--16},
	file = {Simondon.2009.ThePositionOfTheProblemOfOntogenesis.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Simondon.2009.ThePositionOfTheProblemOfOntogenesis.pdf:application/pdf}
}

@article{turchin_cybernetic_1993,
	title = {The {Cybernetic} {Ontology} of {Action}},
	abstract = {Metaphysics is often viewed as almost opposite to physics and utterly useless for it, if not for any reasonable purpose. This attitude is a hangover from outdated forms of empiricism and positivism, namely the naive reflectioncorrespondence theory of language and truth, which sees language as an image,},
	journal = {KYBERNETES},
	author = {Turchin, Valentin},
	year = {1993},
	file = {Turchin.1993.TheCyberneticOntologyOfAction.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Turchin.1993.TheCyberneticOntologyOfAction.pdf:application/pdf}
}

@article{gershenson_when_2003,
	title = {When {Can} we {Call} a {System} {Self}-organizing?},
	url = {http://arxiv.org/abs/nlin/0303020},
	abstract = {We do not attempt to provide yet another definition of selforganization, but explore the conditions under which we can model a system as self-organizing. These involve the dynamics of entropy, and the purpose, aspects, and description level chosen by an observer. We show how, changing the level or "graining" of description, the same system can appear selforganizing or self-disorganizing. We discuss ontological issues we face when studying self-organizing systems, and analyse when designing and controlling artificial self-organizing systems is useful. We conclude that self-organization is a way of observing systems, not an absolute class of systems.},
	urldate = {2014-09-15},
	journal = {arXiv:nlin/0303020},
	author = {Gershenson, Carlos and Heylighen, Francis},
	month = mar,
	year = {2003},
	note = {arXiv: nlin/0303020},
	file = {Gershenson.2003.WhenCanWeCallASystemSelfOrganizing.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Gershenson.2003.WhenCanWeCallASystemSelfOrganizing.pdf:application/pdf}
}

@article{tenenbaum_how_2011,
	title = {How to {Grow} a {Mind}: {Statistics}, {Structure}, and {Abstraction}},
	volume = {331},
	issn = {0036-8075, 1095-9203},
	shorttitle = {How to {Grow} a {Mind}},
	url = {http://www.sciencemag.org/content/331/6022/1279},
	doi = {10.1126/science.1192788},
	abstract = {In coming to understand the world—in learning concepts, acquiring language, and grasping causal relations—our minds make inferences that appear to go far beyond the data available. How do we do it? This review describes recent approaches to reverse-engineering human learning and cognitive development and, in parallel, engineering more humanlike machine learning systems. Computational models that perform probabilistic inference over hierarchies of flexibly structured representations can address some of the deepest questions about the nature and origins of human thought: How does abstract knowledge guide learning and reasoning from sparse data? What forms does our knowledge take, across different domains and tasks? And how is that abstract knowledge itself acquired?},
	language = {en},
	number = {6022},
	urldate = {2014-09-10},
	journal = {Science},
	author = {Tenenbaum, Joshua B. and Kemp, Charles and Griffiths, Thomas L. and Goodman, Noah D.},
	month = mar,
	year = {2011},
	pmid = {21393536},
	keywords = {vveitas:cognitive\_development},
	pages = {1279--1285},
	file = {Tenenbaum.2011.HowToGrowAMind.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Tenenbaum.2011.HowToGrowAMind.pdf:application/pdf}
}

@article{thompson_making_2009,
	title = {Making {Sense} of {Sense}-{Making}: {Reflections} on {Enactive} and {Extended} {Mind} {Theories}},
	volume = {28},
	issn = {0167-7411, 1572-8749},
	shorttitle = {Making {Sense} of {Sense}-{Making}},
	url = {http://link.springer.com/article/10.1007/s11245-008-9043-2},
	doi = {10.1007/s11245-008-9043-2},
	abstract = {This paper explores some of the differences between the enactive approach in cognitive science and the extended mind thesis. We review the key enactive concepts of autonomy and sense-making. We then focus on the following issues: (1) the debate between internalism and externalism about cognitive processes; (2) the relation between cognition and emotion; (3) the status of the body; and (4) the difference between ‘incorporation’ and mere ‘extension’ in the body-mind-environment relation.},
	language = {en},
	number = {1},
	urldate = {2014-09-09},
	journal = {Topoi},
	author = {Thompson, Evan and Stapleton, Mog},
	month = mar,
	year = {2009},
	pages = {23--30},
	file = {Thomson.2008.MakingSenseOfSenseMaking.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Thomson.2008.MakingSenseOfSenseMaking.pdf:application/pdf}
}

@article{tononi_measure_1994,
	title = {A measure for brain complexity: relating functional segregation and integration in the nervous system},
	volume = {91},
	issn = {0027-8424, 1091-6490},
	shorttitle = {A measure for brain complexity},
	url = {http://www.pnas.org/content/91/11/5033},
	abstract = {In brains of higher vertebrates, the functional segregation of local areas that differ in their anatomy and physiology contrasts sharply with their global integration during perception and behavior. In this paper, we introduce a measure, called neural complexity (CN), that captures the interplay between these two fundamental aspects of brain organization. We express functional segregation within a neural system in terms of the relative statistical independence of small subsets of the system and functional integration in terms of significant deviations from independence of large subsets. CN is then obtained from estimates of the average deviation from statistical independence for subsets of increasing size. CN is shown to be high when functional segregation coexists with integration and to be low when the components of a system are either completely independent (segregated) or completely dependent (integrated). We apply this complexity measure in computer simulations of cortical areas to examine how some basic principles of neuroanatomical organization constrain brain dynamics. We show that the connectivity patterns of the cerebral cortex, such as a high density of connections, strong local connectivity organizing cells into neuronal groups, patchiness in the connectivity among neuronal groups, and prevalent reciprocal connections, are associated with high values of CN. The approach outlined here may prove useful in analyzing complexity in other biological domains such as gene regulation and embryogenesis.},
	language = {en},
	number = {11},
	urldate = {2014-09-08},
	journal = {Proceedings of the National Academy of Sciences},
	author = {Tononi, G. and Sporns, O. and Edelman, G. M.},
	month = may,
	year = {1994},
	pmid = {8197179},
	keywords = {vveitas:cognitive\_development},
	pages = {5033--5037},
	file = {Tonini.1994.AMeasureForBrainComplexity.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Tonini.1994.AMeasureForBrainComplexity.pdf:application/pdf}
}

@book{edelman_wider_2005,
	address = {New Haven},
	title = {Wider {Than} the {Sky}: {The} {Phenomenal} {Gift} of {Consciousness}},
	isbn = {978-0-300-10761-6},
	shorttitle = {Wider {Than} the {Sky}},
	abstract = {How does the firing of neurons give rise to subjective sensations, thoughts, and emotions? How can the disparate domains of mind and body be reconciled? The quest for a scientifically based understanding of consciousness has attracted study and speculation across the ages. In this direct and non-technical discussion of consciousness, Dr. Gerald M. Edelman draws on a lifetime of scientific inquiry into the workings of the brain to formulate answers to the mind-body questions that intrigue every thinking person.Concise and understandable, the book explains pertinent findings of modern neuroscience and describes how consciousness arises in complex brains. Edelman explores the relation of consciousness to causation, to evolution, to the development of the self, and to the origins of feelings, learning, and memory. His analysis of the brain activities underlying consciousness is based on recent remarkable advances in biochemistry, immunology, medical imaging, neuroscience, and evolutionary biology, yet the implications of his book extend farther—beyond the worlds of science and medicine into virtually every area of human inquiry.},
	language = {English},
	publisher = {Yale University Press},
	author = {Edelman, Gerald M.},
	month = may,
	year = {2005},
	file = {Edelman.2004.WiderThanTheSkyThePhenomenalGiftOfConsciousness.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Edelman.2004.WiderThanTheSkyThePhenomenalGiftOfConsciousness.pdf:application/pdf}
}

@article{fair_functional_2009,
	title = {Functional {Brain} {Networks} {Develop} from a "{Local} to {Distributed}" {Organization}},
	volume = {5},
	issn = {1553-734X},
	url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2671306/},
	doi = {10.1371/journal.pcbi.1000381},
	abstract = {The mature human brain is organized into a collection of specialized functional networks that flexibly interact to support various cognitive functions. Studies of development often attempt to identify the organizing principles that guide the maturation of these functional networks. In this report, we combine resting state functional connectivity MRI (rs-fcMRI), graph analysis, community detection, and spring-embedding visualization techniques to analyze four separate networks defined in earlier studies. As we have previously reported, we find, across development, a trend toward ‘segregation’ (a general decrease in correlation strength) between regions close in anatomical space and ‘integration’ (an increased correlation strength) between selected regions distant in space. The generalization of these earlier trends across multiple networks suggests that this is a general developmental principle for changes in functional connectivity that would extend to large-scale graph theoretic analyses of large-scale brain networks. Communities in children are predominantly arranged by anatomical proximity, while communities in adults predominantly reflect functional relationships, as defined from adult fMRI studies. In sum, over development, the organization of multiple functional networks shifts from a local anatomical emphasis in children to a more “distributed” architecture in young adults. We argue that this “local to distributed” developmental characterization has important implications for understanding the development of neural systems underlying cognition. Further, graph metrics (e.g., clustering coefficients and average path lengths) are similar in child and adult graphs, with both showing “small-world”-like properties, while community detection by modularity optimization reveals stable communities within the graphs that are clearly different between young children and young adults. These observations suggest that early school age children and adults both have relatively efficient systems that may solve similar information processing problems in divergent ways., The first two decades of life represent a period of extraordinary developmental change in sensory, motor, and cognitive abilities. One of the ultimate goals of developmental cognitive neuroscience is to link the complex behavioral milestones that occur throughout this time period with the equally intricate functional and structural changes of the underlying neural substrate. Achieving this goal would not only give us a deeper understanding of normal development but also a richer insight into the nature of developmental disorders. In this report, we use computational analyses, in combination with a recently developed MRI technique that measures spontaneous brain activity, to help us to understand the principles that guide the maturation of the human brain. We find that brain regions in children communicate with other regions more locally but that over age communication becomes more distributed. Interestingly, the efficiency of communication in children (measured as a ‘small world’ network) is comparable to that of the adult. We argue that these findings have important implications for understanding both the maturation and the function of neural systems in typical and atypical development.},
	number = {5},
	urldate = {2014-09-08},
	journal = {PLoS Computational Biology},
	author = {Fair, Damien A. and Cohen, Alexander L. and Power, Jonathan D. and Dosenbach, Nico U. F. and Church, Jessica A. and Miezin, Francis M. and Schlaggar, Bradley L. and Petersen, Steven E.},
	month = may,
	year = {2009},
	pmid = {19412534},
	pmcid = {PMC2671306},
	file = {Fari.EtAl.2009.FunctionalBrainNetworksDevelopFromALocalolToDistributedOrganization.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Fari.EtAl.2009.FunctionalBrainNetworksDevelopFromALocalolToDistributedOrganization.pdf:application/pdf}
}

@article{carhart-harris_entropic_2014,
	title = {The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs},
	volume = {8},
	shorttitle = {The entropic brain},
	url = {http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00020/abstract},
	doi = {10.3389/fnhum.2014.00020},
	abstract = {Entropy is a dimensionless quantity that is used for measuring uncertainty about the state of a system but it can also imply physical qualities, where high entropy is synonymous with high disorder. Entropy is applied here in the context of states of consciousness and their associated neurodynamics, with a particular focus on the psychedelic state. The psychedelic state is considered an exemplar of a primitive or primary state of consciousness that preceded the development of modern, adult, human, normal waking consciousness. Based on neuroimaging data with psilocybin, a classic psychedelic drug, it is argued that the defining feature of “primary states” is elevated entropy in certain aspects of brain function, such as the repertoire of functional connectivity motifs that form and fragment across time. Indeed, since there is a greater repertoire of connectivity motifs in the psychedelic state than in normal waking consciousness, this implies that primary states may exhibit “criticality,” i.e., the property of being poised at a “critical” point in a transition zone between order and disorder where certain phenomena such as power-law scaling appear. Moreover, if primary states are critical, then this suggests that entropy is suppressed in normal waking consciousness, meaning that the brain operates just below criticality. It is argued that this entropy suppression furnishes normal waking consciousness with a constrained quality and associated metacognitive functions, including reality-testing and self-awareness. It is also proposed that entry into primary states depends on a collapse of the normally highly organized activity within the default-mode network (DMN) and a decoupling between the DMN and the medial temporal lobes (which are normally significantly coupled). These hypotheses can be tested by examining brain activity and associated cognition in other candidate primary states such as rapid eye movement (REM) sleep and early psychosis and comparing these with non-primary states such as normal waking consciousness and the anaesthetized state.},
	urldate = {2014-09-06},
	journal = {Frontiers in Human Neuroscience},
	author = {Carhart-Harris, Robin Lester and Leech, Robert and Hellyer, Peter John and Shanahan, Murray and Feilding, Amanda and Tagliazucchi, Enzo and Chialvo, Dante R. and Nutt, David},
	year = {2014},
	keywords = {vveitas:cognitive\_development},
	pages = {20},
	file = {Carhat-Harris.EtAl.2014.TheEntropicBrain.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Carhat-Harris.EtAl.2014.TheEntropicBrain.pdf:application/pdf}
}

@article{ash_role_1985,
	title = {The role of developmental concepts in the history of {Gestalt} theory: {The} work of {Kurt} {Koffka}},
	journal = {Contributions to a history of developmental psychology},
	author = {Ash, Mitchell G},
	year = {1985},
	keywords = {vveitas:cognitive\_development},
	pages = {341--358},
	file = {Ash.1985.TheRoleOfDevelopmentalConceptsInTheHistoryOfGestaltTheory.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Ash.1985.TheRoleOfDevelopmentalConceptsInTheHistoryOfGestaltTheory.pdf:application/pdf}
}

@article{tononi_reentry_1992,
	title = {Reentry and the {Problem} of {Integrating} {Multiple} {Cortical} {Areas}: {Simulation} of {Dynamic} {Integration} in the {Visual} {System}},
	volume = {2},
	issn = {1047-3211, 1460-2199},
	shorttitle = {Reentry and the {Problem} of {Integrating} {Multiple} {Cortical} {Areas}},
	url = {http://cercor.oxfordjournals.org/content/2/4/310},
	doi = {10.1093/cercor/2.4.310},
	language = {en},
	number = {4},
	urldate = {2014-09-03},
	journal = {Cerebral Cortex},
	author = {Tononi, Giullo and Sporns, Olaf and Edelman, Gerald M.},
	month = jul,
	year = {1992},
	pmid = {1422090},
	keywords = {vveitas:cognitive\_development},
	pages = {310--335},
	file = {Tononi.EtAl.1992.ReentryAndTheProblemOfIntegratingMultipleCorticalAreas.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Tononi.EtAl.1992.ReentryAndTheProblemOfIntegratingMultipleCorticalAreas.pdf:application/pdf}
}

@article{rutishauser_state-dependent_2008,
	title = {State-{Dependent} {Computation} {Using} {Coupled} {Recurrent} {Networks}},
	volume = {21},
	issn = {0899-7667},
	url = {http://dx.doi.org/10.1162/neco.2008.03-08-734},
	doi = {10.1162/neco.2008.03-08-734},
	abstract = {Although conditional branching between possible behavioral states is a hallmark of intelligent behavior, very little is known about the neuronal mechanisms that support this processing. In a step toward solving this problem, we demonstrate by theoretical analysis and simulation how networks of richly interconnected neurons, such as those observed in the superficial layers of the neocortex, can embed reliable, robust finite state machines. We show how a multistable neuronal network containing a number of states can be created very simply by coupling two recurrent networks whose synaptic weights have been configured for soft winner-take-all (sWTA) performance. These two sWTAs have simple, homogeneous, locally recurrent connectivity except for a small fraction of recurrent cross-connections between them, which are used to embed the required states. This coupling between the maps allows the network to continue to express the current state even after the input that elicited that state is withdrawn. In addition, a small number of transition neurons implement the necessary input-driven transitions between the embedded states. We provide simple rules to systematically design and construct neuronal state machines of this kind. The significance of our finding is that it offers a method whereby the cortex could construct networks supporting a broad range of sophisticated processing by applying only small specializations to the same generic neuronal circuit.},
	number = {2},
	urldate = {2014-09-02},
	journal = {Neural Computation},
	author = {Rutishauser, Ueli and Douglas, Rodney J.},
	month = sep,
	year =

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