text:
and Engdahl, 1998a) dealt with collective consciousness. This second part analyses individual consciousness as arising in the context of a person experiencing herself as an object of collective representation and collective reflection and discourse. Individual consciousness is the outcome of processes of collective naming, classifying, monitoring, judging, reflecting on, and conducting discussions and discourses about, the individual herself. A participant learns in the collective context (in line with George Herbert Mead's earlier formulations) a naming and classification of herself (self-description and identity), of her judgments, actions, and predispositions. In acquiring a language and conceptual framework for this mode of activity -- along with experience and skills in reflective discussion -- she develops a capability of inner reflection and inner dialogue about self, which are characteristic features of individual consciousness. The analysis goes on to distinguish multiple modes of individual awareness and consciousness, distinguishing awareness from consciousness proper, and also identifying pre- and sub-conscious levels. This points up the complexity of the human mind, in part its elaboration through processes of social interaction and construction.},
	number = {2},
	journal = {Journal of Consciousness Studies},
	author = {Burns, Tom R. and Engdahl, E.},
	month = feb,
	year = {1998},
	keywords = {vveitas:cognitive\_development},
	pages = {166--184},
	file = {Burns.Engdahl.2998.TheSocialConstructionOfConsciousnessPart2IndividualSelves.pdf:/media/vveitas/LibraryKing/gdrive/vveitas@gmail.com/library/Burns.Engdahl.2998.TheSocialConstructionOfConsciousnessPart2IndividualSelves.pdf:application/pdf}
}

@incollection{heylighen_growth_1999,
	address = {Dordrecht},
	title = {The {Growth} of {Structural} and {Functional} {Complexity} {During} {Evolution}},
	url = {http://pespmc1.vub.ac.be/Papers/ComplexityGrowth.pdf},
	abstract = {The Evolution of Complexity is addressed to a broad audience of academics and researchers from different disciplines, who are interested in the picture of our world emerging from the new sciences of complexity. This book reviews ...},
	urldate = {2014-06-09},
	booktitle = {The {Evolution} of {Complexity} - {The} {Violet} {Book} of `{Einstein} {Meets} {Magritte}'},
	publisher = {Kluwer  Academic  Publishers},
	author = {Heylighen, Francis},
	editor = {Heylighen, Francis and Bollen, Johan and Riegler, Alexander},
	year = {1999},
	pages = {17--44},
	file = {Heylighen.1999.TheGrowthOfStructuralAndFunctionalComplexityDuringEvolution.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Heylighen.1999.TheGrowthOfStructuralAndFunctionalComplexityDuringEvolution.pdf:application/pdf}
}

@book{stewart_evolutions_2000,
	title = {Evolution's {Arrow}: {The} {Direction} of {Evolution} and the {Future} of {Humanity}},
	isbn = {978-0-646-39497-8},
	shorttitle = {Evolution's {Arrow}},
	abstract = {Evolution's Arrow argues that evolution is directional and progressive, and that this has major consequences for humanity. Without resort to teleology, the book demonstrates that evolution moves in the direction of producing cooperative organisations of greater scale and evolvability - evolution has organised molecular processes into cells, cells into organisms, and organisms into societies. The book founds this position on a new theory of the evolution of cooperation. It shows that self-interest at the level of the genes does not prevent cooperation from increasing as evolution unfolds. Evolution progresses by discovering ways to build cooperative organisations out of self-interested individuals. The book also shows that evolution itself has evolved. Evolution has progressively improved the ability of evolutionary mechanisms to discover effective adaptations. And it has produced new and better mechanisms. Evolution's Arrow uses this understanding of the direction of evolution to identify the next great steps in the evolution of life on earth - the steps that humanity must take if we are to continue to be successful in evolutionary terms. A key step for humanity is to increase the scale and evolvability of our societies, eventually forming a unified and cooperative society on the scale of the planet. We must also transform ourselves psychologically to become self-evolving organisms - organisms that are able to escape their biological and cultural past by adapting in whatever directions are necessary to achieve future evolutionary success.},
	language = {en},
	publisher = {Chapman Press},
	author = {Stewart, John},
	month = jan,
	year = {2000},
	file = {Stewart.2000.EvolutionsArrowTheDirectionOfEvolutionAndTheFutureOfHumanity.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Stewart.2000.EvolutionsArrowTheDirectionOfEvolutionAndTheFutureOfHumanity.pdf:application/pdf}
}

@phdthesis{vidal_beginning_2014,
	address = {Brussels},
	type = {{PhD} {Thesis}},
	title = {The {Beginning} and the {End}: {The} {Meaning} of {Life} in a {Cosmological} {Perspective}},
	shorttitle = {The {Beginning} and the {End}},
	language = {English},
	school = {Vrije Universiteit Brussel},
	author = {Vidal, Clément},
	month = may,
	year = {2014},
	keywords = {vveitas:cognitive\_development},
	file = {Vidal.2013.TheBeginningAndTheEndNew.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Vidal.2013.TheBeginningAndTheEndNew.pdf:application/pdf}
}

@phdthesis{louth_imagining_2010,
	type = {Thesis},
	title = {Imagining a complex world: science, order and international relations.},
	shorttitle = {Imagining a complex world},
	url = {http://digital.library.adelaide.edu.au/dspace/handle/2440/64044},
	abstract = {How order is understood has been a central preoccupation of international relations theory. Within the Western imagination, order, banishing chaos, emerged from the Scientific Revolution and the Enlightenment as a knowable and calculable concept. Order became a known entity; it is the rational world. The irrational, that which didn’t fit into neat delineations, was to be shunned. The resultant scientific method came to represent a reductionist, linear, and predictable outlook. Although it subsequently stepped down from its positivist heights, this Newtonian paradigm continues to inform (whether in opposition or in support) theory construction within social sciences, and, by extension, international relations theory. However, for over a century the sciences, divorced from the social sciences, have moved beyond this paradigm, with considerable attention being directed to the non-linear sciences. From this family of new sciences, complexity theory, drawing on and displacing chaos theory, has emerged over the last two decades as a genuine paradigmatic alternative.
This thesis argues that the incorporation of complexity theory at the meta-theoretical levels offers the opportunity to reconsider ontological and epistemological assumptions within the study of global politics. In detailing the presuppositions that best capture a complexity worldview, it is argued that complex adaptive systems, like the international system, exhibit emergent properties. Irreducibility, sensitivity to initial conditions, and self-organisation are shown to be central to comprehending how complex systems evolve, adapt and maintain highenergy far-from-equilibrium processes. Conversely, it is argued that dominant rationalist-based theories of international relations continue to seek out theories of natural equilibrium, which often reflect a transference of the Newtonian paradigm via a neoclassical economic ontology. Instead, it is argued that the international system should be viewed as a series of nested and overlapping complex adaptive systems that contains significant points of attraction, the most recognisable being the state. Moving towards an acceptance of the impact of the non-linear sciences at the meta-theoretical level will press the importance of intuition and interpretation to theories of international relations. Moreover, theories that absorb this commitment will more easily escape accusations of either irrelevancy for lacking a scientific base or of suffering from ‘physics envy’, in its traditional guise, because of its scientific base.},
	urldate = {2014-05-28},
	author = {Louth, Jonathon},
	year = {2010},
	note = {Thesis (Ph.D.) -- University of Adelaide, School of History and Politics, 2010},
	file = {Louth.2009.ImaginingAComplexWorldPhdThesis.pdf:/media/vveitas/LibraryKing/gdrive/vveitas@gmail.com/library/Louth.2009.ImaginingAComplexWorldPhdThesis.pdf:application/pdf}
}

@incollection{stewart_horizons_2008,
	title = {Horizons for the enactive mind: {Values}, social interaction, and play},
	isbn = {978-0-262-01460-1},
	language = {en},
	booktitle = {Enaction: {Toward} a {New} {Paradigm} for {Cognitive} {Science}},
	publisher = {MIT Press},
	author = {Di Paolo, Ezequiel A. Di and Rohde, Marieke and De Jaegher, Hanneke},
	editor = {Stewart, John Robert and Gapenne, Olivier and Di Paolo, Ezequiel A. Di},
	year = {2008},
	keywords = {vveitas:cognitive\_development},
	file = {DiPaolo.EtAl.2008.HorizonsForTheEnactiveMind.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/DiPaolo.EtAl.2008.HorizonsForTheEnactiveMind.pdf:application/pdf}
}

@book{banathy_guided_2000,
	edition = {1},
	title = {Guided {Evolution} of {Society}: {A} {Systems} {View}},
	shorttitle = {Guided {Evolution} of {Society}},
	publisher = {Springer},
	author = {Banathy, Bela H.},
	month = nov,
	year = {2000},
	keywords = {vveitas:social\_cognition, vveitas:world\_of\_views},
	file = {Banathy.2012.GuidedEvolutionOfSocietyASystemsView.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Banathy.2012.GuidedEvolutionOfSocietyASystemsView.pdf:application/pdf}
}

@book{willke_smart_2007,
	title = {Smart {Governance}: {Governing} the {Global} {Knowledge} {Society}},
	isbn = {978-3-593-38253-1},
	shorttitle = {Smart {Governance}},
	abstract = {In the wake of globalization, national governments are becoming increasingly interdependent, and knowledge is arguably becoming the most valuable form of capital. Helmut Willke’s Smart Governance offers a new perspective on global governance from the vantage point of a global knowledge society.   Employing a case study of the global financial system and an analysis of several governance regimes, Willke contends that markets, legal systems, and morality must evolve to cope with uncertainty, build capacities, and achieve resilience. Smart Governance will change the way economists, historians, and political scientists view international cooperation.},
	language = {en},
	publisher = {Campus Verlag},
	author = {Willke, Helmut},
	year = {2007},
	keywords = {vveitas:social\_cognition},
	file = {Willke.2007.SmartGovernance\:GoverningTheGlobalKnowledgeSociety.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Willke.2007.SmartGovernance\:GoverningTheGlobalKnowledgeSociety.pdf:application/pdf}
}

@book{gigerenzer_adaptive_2000,
	title = {Adaptive {Thinking}: {Rationality} in the {Real} {World}},
	isbn = {978-0-19-513622-7},
	shorttitle = {Adaptive {Thinking}},
	abstract = {Where do new ideas come from? What is social intelligence? Why do social scientists perform mindless statistical rituals? This vital book is about rethinking rationality as adaptive thinking: to understand how minds cope with their environments, both ecological and social.  Gerd Gigerenzer proposes and illustrates a bold new research program that investigates the psychology of rationality, introducing the concepts of ecological, bounded, and social rationality. His path-breaking collection takes research on thinking, social intelligence, creativity, and decision-making out of an ethereal world where the laws of logic and probability reign, and places it into our real world of human behavior and interaction. Adaptive Thinking is accessibly written for general readers with an interest in psychology, cognitive science, economics, sociology, philosophy, artificial intelligence, and animal behavior. It also teaches a practical audience, such as physicians, AIDS counselors, and experts in criminal law, how to understand and communicate uncertainties and risks.},
	language = {en},
	publisher = {Oxford University Press},
	author = {Gigerenzer, Gerd},
	year = {2000},
	file = {Gigerenzer.2000. AdaptiveThinking.pdf:/home/kabir/vveitas@gmail.com/library/Gigerenzer.2000. AdaptiveThinking.pdf:application/pdf}
}

@book{gigerenzer_rationality_2008,
	title = {Rationality for {Mortals}: {How} {People} {Cope} with {Uncertainty}},
	isbn = {978-0-19-989012-5},
	shorttitle = {Rationality for {Mortals}},
	abstract = {Gerd Gigerenzer's influential work examines the rationality of individuals not from the perspective of logic or probability, but from the point of view of adaptation to the real world of human behavior and interaction with the environment. Seen from this perspective, human behavior is more rational than it might otherwise appear. This work is extremely influential and has spawned an entire research program. This volume collects recent articles, looking at how people use "fast and frugal heuristics" to calculate probability and risk and make decisions. It includes the revised articles and newly written introduction that were first published in the hardcover edition. Its appeal is to a mixture of cognitive psychologists, philosophers, economists, and others who study decision making. "Gerd Gigerenzer has created new, pathbreaking ways of thinking about human rationality. His ideas build on one another and are best seen as part of a coherent whole that is when the nature of his arguments emerges most clearly."-- Leda Cosmides, University of California Santa Barbara},
	language = {en},
	publisher = {Oxford University Press},
	author = {Gigerenzer, Gerd},
	month = may,
	year = {2008},
	file = {Gigerenzer.2008.RationalityForMortalsHowPeopleCopeWithUncertaintyEvolutionAndCognition.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Gigerenzer.2008.RationalityForMortalsHowPeopleCopeWithUncertaintyEvolutionAndCognition.pdf:application/pdf}
}

@article{shotter_movements_2010,
	title = {Movements of {Feeling} and {Moments} of {Judgement}: {Towards} an {Ontological} {Social} {Constructionism}},
	volume = {6},
	issn = {1861-1303 (print)},
	shorttitle = {Movements of {Feeling} and {Moments} of {Judgement}},
	url = {http://econpapers.repec.org/article/raiijares/doi_5f10.1688_2f1861-9916_5fijar_5f2010_5f01_5fshotter.htm},
	abstract = {What is involved, in practice, coming to a judgement? The Norwegian family therapist, Tom Andersen, characterized himself as 'a wanderer and worrier', he was constantly reflecting on his ways of ‘going on’, on his own practice, to further develop and refine them. Each new way came to him, he said, on reaching a ‘crossroads’, a point when he felt unable to continue any longer in the same way. But once he stopped doing what he had come to see as ethically wrong, he found, he said, that the 'alternatives popped up almost by themselves' (Anderson/Jensen, 2007: 159). What I want to discuss is the fact that, while we can say that we can quite self-consciously and deliberately decide not to do something (perhaps never again) at a particular moment, in a new and particular situation we cannot be said to decide at any particular instant in time, positively what to do. New ways of acting cannot be planned; they have to emerge. As Lehrer (2009) suggests, coming to act in a way that seems to be for the best in a particular situation is not something we can decide upon simply within ourselves – judgmental work, in which we go out bodily, to relate ourselves imaginatively and feelingfully to various aspects of our current circumstances, aspect-by-aspect, sequentially, over time, seems to be required. It is what the nature of this imaginative judgmental work feels like, looks like, and sounds like that I want to discuss in this paper.},
	number = {1},
	urldate = {2014-05-22},
	journal = {International Journal of Action Research},
	author = {Shotter, John},
	year = {2010},
	pages = {16--42},
	file = {Shotter.2010.MovementsOfFeelingAndMomentsOfJudgementTowardsAnOntologicalSocialConstructionism.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Shotter.2010.MovementsOfFeelingAndMomentsOfJudgementTowardsAnOntologicalSocialConstructionism.pdf:application/pdf}
}

@book{varela_embodied_1992,
	title = {The {Embodied} {Mind}: {Cognitive} {Science} and {Human} {Experience}},
	isbn = {978-0-262-26123-4},
	shorttitle = {The {Embodied} {Mind}},
	language = {en},
	publisher = {MIT Press},
	author = {Varela, Francisco J. and Rosch, Eleanor and Thompson, Evan},
	year = {1992},
	file = {Varela.1993. TheEmbodiedMindCognitiveScienceandHumanExperience.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Varela.1993. TheEmbodiedMindCognitiveScienceandHumanExperience.pdf:application/pdf}
}

@book{konar_cognitive_2007,
	title = {Cognitive {Engineering}: {A} {Distributed} {Approach} to {Machine} {Intelligence}},
	isbn = {978-1-84628-234-8},
	shorttitle = {Cognitive {Engineering}},
	abstract = {This book explores the design issues of intelligent engineering systems. Beginning with the foundations of psychological modeling of the human mind, the main emphasis is given to parallel \& distributed realization of intelligent models for application in reasoning, learning, planning \& multi-agent co-ordination problems. Case studies on human-mood detection \& control, \& behavioral co-operation of mobile robots are provided. This is the 1st comprehensive text of its kind, bridging the gap between Cognitive Science \& Cognitive Systems Engineering. Each chapter includes plenty of numerical examples \& exercises with sufficient hints, so that readers can solve the exercises on their own. Computer simulations are included in most chapters to give a clear idea about the application of the algorithms undertaken. This book is unique in its theme \& contents - written with graduates in mind, it would also be a valuable resource for researchers in the fields Cognitive Science, Computer Science \& Cognitive Engineering.},
	language = {en},
	publisher = {Springer},
	author = {Konar, Amit},
	month = oct,
	year = {2007},
	file = {Konar.2005.CognitiveEngineeringADistributedApproachToMachineIntelligence.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Konar.2005.CognitiveEngineeringADistributedApproachToMachineIntelligence.pdf:application/pdf}
}

@article{north_theoretical_2014,
	title = {A theoretical formalism for analyzing agent-based models},
	volume = {2},
	copyright = {2014 North; licensee Springer.},
	issn = {2194-3206},
	url = {http://www.casmodeling.com/content/2/1/3/abstract},
	doi = {10.1186/2194-3206-2-3},
	language = {en},
	number = {1},
	urldate = {2014-05-12},
	journal = {Complex Adaptive Systems Modeling},
	author = {North, Michael J.},
	month = may,
	year = {2014},
	pages = {3},
	file = {North.2014.ATheoreticalFormalismForAnalyzingAgent-BasedModels.pdf:/media/vveitas/LibraryKing/gdrive/vveitas@gmail.com/library/North.2014.ATheoreticalFormalismForAnalyzingAgent-BasedModels.pdf:application/pdf}
}

@book{kegan_evolving_1982,
	address = {Cambridge, Mass.},
	title = {The evolving self: problem and process in human development},
	isbn = {0-674-27230-7 978-0-674-27230-9 0-674-27231-5 978-0-674-27231-6},
	shorttitle = {The evolving self},
	abstract = {An examination of how thought and emotion are integrated in human development.},
	language = {English},
	publisher = {Harvard University Press},
	author = {Kegan, Robert},
	year = {1982},
	keywords = {vveitas:cognitive\_development},
	file = {Kegan.1982.EvolvingSelfProblemAndProcessInHumanDevelopment.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Kegan.1982.EvolvingSelfProblemAndProcessInHumanDevelopment.pdf:application/pdf}
}

@book{goldstein_organism:_1995,
	address = {New York},
	title = {The organism: a holistic approach to biology derived from pathological data in man},
	isbn = {0-942299-96-5 978-0-942299-96-0 0-942299-65-5 978-0-942299-65-6 0-942299-97-3 978-0-942299-97-7},
	shorttitle = {The organism},
	language = {English},
	publisher = {Zone Books},
	author = {Goldstein, Kurt},
	year = {1995},
	file = {Goldstein.1995.TheOrganism.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Goldstein.1995.TheOrganism.pdf:application/pdf}
}

@article{hanson_shall_2007,
	title = {Shall {We} {Vote} on {Values}, {But} {Bet} on {Beliefs}?},
	author = {Hanson, Robin},
	year = {2007},
	file = {Hanson.2007.ShalWeVoteOnValuesButBetOnBeliefs.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Hanson.2007.ShalWeVoteOnValuesButBetOnBeliefs.pdf:application/pdf}
}

@book{goertzel_between_2014,
	title = {Between {Ape} and {Artilect}: {Conversations} with {Pioneers} of {Artificial} {General} {Intelligence} and {Other} {Transformative} {Technologies}},
	isbn = {1-4961-3817-1},
	shorttitle = {Between {Ape} and {Artilect}},
	language = {English},
	publisher = {CreateSpace Independent Publishing Platform},
	author = {Goertzel, Ben},
	month = mar,
	year = {2014},
	file = {Goertzel.2013.BetweenapeandArtilect.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Goertzel.2013.BetweenapeandArtilect.pdf:application/pdf}
}

@article{hordijk_structure_2012,
	title = {The {Structure} of {Autocatalytic} {Sets}: {Evolvability}, {Enablement}, and {Emergence}},
	shorttitle = {The {Structure} of {Autocatalytic} {Sets}},
	url = {http://arxiv.org/abs/1205.0584},
	abstract = {This paper presents new results from a detailed study of the structure of autocatalytic sets. We show how autocatalytic sets can be decomposed into smaller autocatalytic subsets, and how these subsets can be identified and classified. We then argue how this has important consequences for the evolvability, enablement, and emergence of autocatalytic sets. We end with some speculation on how all this might lead to a generalized theory of autocatalytic sets, which could possibly be applied to entire ecologies or even economies.},
	urldate = {2014-03-26},
	journal = {arXiv:1205.0584 [q-bio]},
	author = {Hordijk, Wim and Steel, Mike and Kauffman, Stuart},
	month = may,
	year = {2012},
	file = {Hordjik.2012.TheStructureOfAutocataliticSets.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Hordjik.2012.TheStructureOfAutocataliticSets.pdf:application/pdf}
}

@book{ljung_system_1998,
	title = {System {Identification}: {Theory} for the {User}},
	isbn = {978-0-13-244053-0},
	shorttitle = {System {Identification}},
	abstract = {The field's leading text, now completely updated.   Modeling dynamical systems — theory, methodology, and applications.   Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and general non-linear black box methods, including neural networks and neuro-fuzzy modeling. The book contains many new computer-based examples designed for Ljung's market-leading software, System Identification Toolbox for MATLAB.   Ljung combines careful mathematics, a practical understanding of real-world applications, and extensive exercises. He introduces both black-box and tailor-made models of linear as well as non-linear systems, and he describes principles, properties, and algorithms for a variety of identification techniques:    Nonparametric time-domain and frequency-domain methods.   Parameter estimation methods in a general prediction error setting.   Frequency domain data and frequency domain interpretations.   Asymptotic analysis of parameter estimates.   Linear regressions, iterative search methods, and other ways to compute estimates.   Recursive (adaptive) estimation techniques.    Ljung also presents detailed coverage of the key issues that can make or break system identification projects, such as defining objectives, designing experiments, controlling the bias distribution of transfer-function estimates, and carefully validating the resulting models.  The first edition of System Identification has been the field's most widely cited reference for over a decade. This new edition will be the new text of choice for anyone concerned with system identification theory and practice.},
	language = {en},
	publisher = {Pearson Education},
	author = {Ljung, Lennart},
	month = dec,
	year = {1998},
	file = {Ljung.1999.SystemIdentificationTheoryForTheUser.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Ljung.1999.SystemIdentificationTheoryForTheUser.pdf:application/pdf}
}

@book{broersen_automatic_2006,
	title = {Automatic {Autocorrelation} and {Spectral} {Analysis}},
	isbn = {978-1-84628-328-4},
	abstract = {Automatic Autocorrelation and Spectral Analysis gives random data a language to communicate the information they contain objectively. In the current practice of spectral analysis, subjective decisions have to be made all of which influence the final spectral estimate and mean that different analysts obtain different results from the same stationary stochastic observations. Statistical signal processing can overcome this difficulty, producing a unique solution for any set of observations but that solution is only acceptable if it is close to the best attainable accuracy for most types of stationary data. Automatic Autocorrelation and Spectral Analysis describes a method which fulfils the above near-optimal-solution criterion. It takes advantage of greater computing power and robust algorithms to produce enough candidate models to be sure of providing a suitable candidate for given data. Improved order selection quality guarantees that one of the best (and often the best) will be selected automatically. The data themselves suggest their best representation. Should the analyst wish to intervene, alternatives can be provided. Written for graduate signal processing students and for researchers and engineers using time series analysis for practical applications ranging from breakdown prevention in heavy machinery to measuring lung noise for medical diagnosis, this text offers:   • tuition in how power spectral density and the autocorrelation function of stochastic data can be estimated and interpreted in time series models; • extensive support for the MATLAB® ARMAsel toolbox; • applications showing the methods in action; • appropriate mathematics for students to apply the methods with references for those who wish to develop them further.},
	language = {en},
	publisher = {Springer},
	author = {Broersen, Piet M. T.},
	month = apr,
	year = {2006},
	file = {Broersen.2006.AutomaticAutocorrelationAndSpectralAnalysis.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Broersen.2006.AutomaticAutocorrelationAndSpectralAnalysis.pdf:application/pdf}
}

@incollection{heylighen_vicarious_1995,
	address = {Brussels},
	title = {Vicarious {Selectors}},
	url = {http://pespmc1.vub.ac.be/VICARSEL.html},
	booktitle = {Principia {Cybernetica} {Web}},
	publisher = {Principia Cybernetica},
	author = {Heylighen, Francis and Joslyn, Cliff},
	editor = {Heylighen, F. and Joslyn, Cliff and Turchin, Valentin},
	year = {1995}
}

@incollection{heylighen_evolutionary_1995,
	address = {Brussels},
	title = {Evolutionary {Epistemology}},
	url = {http://pespmc1.vub.ac.be/EVOLEPIST.html},
	booktitle = {Principia {Cybernetica} {Web}},
	publisher = {Principia Cybernetica},
	author = {Heylighen, Francis},
	editor = {Heylighen, F. and Joslyn, Cliff and Turchin, Valentin},
	year = {1995}
}

@incollection{heylighen_cultural_2009,
	title = {Cultural {Evolution} and {Memetics}},
	url = {http://pespmc1.vub.ac.be/Papers/Memetics-Springer.pdf},
	booktitle = {Encyclopedia of {Complexity} and {Systems} {Science}},
	publisher = {Springer},
	author = {Heylighen, Francis and Chielens, Klaas},
	year = {2009},
	file = {HeylighenChielens.2009.CulturalEvolutionAndMemetics.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/HeylighenChielens.2009.CulturalEvolutionAndMemetics.pdf:application/pdf}
}

@incollection{bar-yam_complexity_2002,
	address = {Oxford, UK},
	title = {Complexity {Rising}: {From} {Human} {Beings} to {Human} {Civilization}, a {Complexity} {Profile}},
	url = {http::www.eolss.net},
	language = {English},
	booktitle = {Encyclopaedia of {Life} {Support} {Systems}},
	publisher = {EOLLS Publishers},
	author = {Bar-Yam, Yaneer},
	year = {2002},
	file = {Bar-Yam.1997.ComplexityRisingFromHumanBeingsToHumanCivilizationAComplexityProfile.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Bar-Yam.1997.ComplexityRisingFromHumanBeingsToHumanCivilizationAComplexityProfile.pdf:application/pdf}
}

@incollection{vernon_cognitive_2012,
	title = {Cognitive {System}},
	booktitle = {Enciclopaedia of {Computer} {Vision}},
	publisher = {Springer},
	author = {Vernon, David},
	year = {2012},
	note = {in press},
	pages = {412--418},
	file = {Vernon.2012.CognitiveSystem_EncyclopaediaOfComputerVision.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Vernon.2012.CognitiveSystem_EncyclopaediaOfComputerVision.pdf:application/pdf}
}

@incollection{wikipedia_bulk_2013,
	title = {Bulk synchronous parallel},
	copyright = {Creative Commons Attribution-ShareAlike License},
	url = {http://en.wikipedia.org/w/index.php?title=Bulk_synchronous_parallel&oldid=561389757},
	abstract = {The Bulk Synchronous Parallel (BSP) abstract computer is a bridging model for designing parallel algorithms. A bridging model "is intended neither as a hardware nor a programming model but something in between".[1] It serves a purpose similar to the Parallel Random Access Machine (PRAM) model. BSP differs from PRAM by not taking communication and synchronization for granted. An important part of analysing a BSP algorithm rests on quantifying the synchronisation and communication needed.},
	language = {en},
	urldate = {2013-08-06},
	booktitle = {Wikipedia, the free encyclopedia},
	author = {Wikipedia},
	month = jul,
	year = {2013},
	note = {Page Version ID: 561389757},
	file = {Wikipedia.BulkSynchronousParallel.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Wikipedia.BulkSynchronousParallel.pdf:application/pdf}
}

@incollection{dittrich_artificial_2009,
	title = {Artificial {Chemistry}},
	url = {http://www.springerlink.com/index/10.1007/s11538-006-9130-8},
	urldate = {2012-11-08},
	booktitle = {Encyclopedia of {Complexity} and {Systems} {Science}},
	author = {Dittrich, Peter},
	editor = {Meyers, Robert A.},
	year = {2009},
	pages = {1199--1231},
	file = {Dittrich.Artificial Chemistry(EncyclopediaOfComplexityAndSystemScience).pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Dittrich.Artificial Chemistry(EncyclopediaOfComplexityAndSystemScience).pdf:application/pdf}
}

@incollection{gontier_evolutionary_2006,
	title = {Evolutionary {Epistemology}},
	url = {http://www.iep.utm.edu/evo-epis/},
	urldate = {2014-02-28},
	booktitle = {Internet {Encyclopedia} of {Philosophy}},
	author = {Gontier, Nathalie},
	year = {2006},
	file = {Gontier.2006.EvolutionaryEpistemology.pdf:/home/kabir/vveitas@gmail.com/library/Gontier.2006.EvolutionaryEpistemology.pdf:application/pdf}
}

@incollection{smith_gilles_2013,
	edition = {Spring 2013},
	title = {\{{Gilles}\} \{{Deleuze}\}},
	url = {http://plato.stanford.edu/archives/spr2013/entries/deleuze/},
	booktitle = {The {Stanford} {Encyclopedia} of {Philosophy}},
	author = {Smith, Daniel and Protevi, John},
	editor = {Zalta, Edward N.},
	year = {2013},
	file = {Smith.Protevi.2013.GillesDeleuze.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Smith.Protevi.2013.GillesDeleuze.pdf:application/pdf}
}

@article{weinbaum_complexity_2013,
	title = {Complexity and the philosophy of becoming},
	language = {en},
	journal = {Foundations of Science},
	author = {Weinbaum, David R.},
	year = {2013},
	note = {Submitted for publication},
	keywords = {vveitas:challprop\_presentation},
	file = {Weaver.2013.ComplexityАndТhePhilosophyOfBecoming.ReworkedDraft-2.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Weaver.2013.ComplexityАndТhePhilosophyOfBecoming.ReworkedDraft-2.pdf:application/pdf}
}

@phdthesis{legg_machine_2008,
	title = {Machine {Super} {Intelligence}},
	copyright = {Shane Legg (Standaard copyrightlicentie)},
	abstract = {A thesis about theoretical models of super intelligent machines.  Includes Hutter's AIXI model, Solomonoff induction, the Universal Intelligence Measure, and the relationship between Goedel incompleteness and artificial intelligence algorithms.},
	language = {Engels},
	school = {University of Lugano},
	author = {Legg, Shane},
	year = {2008},
	keywords = {vveitas:world\_of\_views},
	file = {Legg.2008.MachineSuperIntelligencePhDThesis.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Legg.2008.MachineSuperIntelligencePhDThesis.pdf:application/pdf}
}

@article{wheeler_epistemology_2004,
	title = {Epistemology and artificial intelligence},
	volume = {2},
	issn = {1570-8683},
	url = {http://www.sciencedirect.com/science/article/pii/S1570868304000473},
	doi = {10.1016/j.jal.2004.07.007},
	abstract = {In this essay we advance the view that analytical epistemology and artificial intelligence are complementary disciplines. Both fields study epistemic relations, but whereas artificial intelligence approaches this subject from the perspective of understanding formal and computational properties of frameworks purporting to model some epistemic relation or other, traditional epistemology approaches the subject from the perspective of understanding the properties of epistemic relations in terms of their conceptual properties. We argue that these two practices should not be conducted in isolation. We illustrate this point by discussing how to represent a class of inference forms found in standard inferential statistics. This class of inference forms is interesting because its members share two properties that are common to epistemic relations, namely defeasibility and paraconsistency. Our modeling of standard inferential statistical arguments exploits results from both logical artificial intelligence and analytical epistemology. We remark how our approach to this modeling problem may be generalized to an interdisciplinary approach to the study of epistemic relations.},
	number = {4},
	urldate = {2014-03-14},
	journal = {Journal of Applied Logic},
	author = {Wheeler, Gregory R. and Pereira, Luís Moniz},
	month = dec,
	year = {2004},
	pages = {469--493},
	file = {Wheeler.Pereira.2004.EpistemologyAndArtificialIntlligence.pdf:/media/vveitas/LibraryKing/Insync/library/Wheeler.Pereira.2004.EpistemologyAndArtificialIntlligence.pdf:application/pdf}
}

@article{gabora_creative_2005,
	title = {Creative {Thought} as a non {Darwinian} {Evolutionary} {Process}},
	volume = {39},
	copyright = {2005 Creative Education Foundation},
	issn = {2162-6057},
	url = {http://onlinelibrary.wiley.com/doi/10.1002/j.2162-6057.2005.tb01261.x/abstract},
	doi = {10.1002/j.2162-6057.2005.tb01261.x},
	abstract = {Selection theory requires multiple, distinct, simultaneously-actualized states. In cognition, each thought or cognitive state changes the ‘selection pressure’ against which the next is evaluated; they are not simultaneously selected amongst. Creative thought is more a matter of honing in on a vague idea through redescribing successive iterations of it from different real or imagined perspectives; in other words, actualizing potential through exposure to different contexts. It has been proven that the mathematical description of contextual change of state introduces a non-Kolmogorovian probability distribution, and a classical formalism such as selection theory cannot be used. This paper argues that creative thought evolves not through a Darwinian process, but a process of context-driven actualization of potential.},
	language = {en},
	number = {4},
	urldate = {2014-03-14},
	journal = {The Journal of Creative Behavior},
	author = {Gabora, Liane},
	year = {2005},
	pages = {262--283},
	file = {Gabora.2005.CreativeThoughtAsANonDarwininianEvolutionaryProcess.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Gabora.2005.CreativeThoughtAsANonDarwininianEvolutionaryProcess.pdf:application/pdf}
}

@misc{marcus_hutter_universal_2012,
	address = {Singularity Summit Australia 2012},
	title = {Universal {Artificial} {Intelligence}},
	url = {http://www.youtube.com/watch?v=I-vx5zbOOXI&feature=youtube_gdata_player},
	abstract = {Marcus Hutter UAI - Universal Artificial Intelligence
http://2012.singularitysummit.com.au/2012/08/universal-artificial-intelligence/
Abstract: The approaches to Artificial Intelligence (AI) in the last century may be labelled as (a) trying to understand and copy (human)
nature, (b) being based on heuristic considerations, (c) being formal but from the outset (provably) limited, (d) being (mere)
frameworks that leave crucial aspects unspecified. This decade has spawned the first theory of AI, which (e) is principled, formal,
complete, and general. This theory, called Universal AI, is about ultimate super-intelligence. It can serve as a gold standard for
General AI, and implicitly proposes a formal definition of machine intelligence. After a brief review of the various approaches to
(general) AI, I will give an introduction to Universal AI, concentrating on the philosophical, mathematical, and computational
aspects behind it. I will also discuss various implications and future challenges.

Also see
http://2012.singularitysummit.com.au/2012/08/can-intelligence-explode/

AIXI, UAI, Rational Agents, Solomonoff Induction and the Singularity},
	urldate = {2014-03-02},
	author = {{Marcus Hutter}},
	collaborator = {{Adam Ford}},
	month = oct,
	year = {2012},
	note = {Presentation by Marcus Hutter at Singularity Summit Australia 2012},
	file = {Hutter.2013.UniversalArtificialIntelligence.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Hutter.2013.UniversalArtificialIntelligence.pdf:application/pdf}
}

@misc{markus_hutter_what_2012,
	title = {What is {Intelligence}? {AIXI} \& {Induction}},
	shorttitle = {Marcus {Hutter} - {What} is {Intelligence}?},
	url = {http://www.youtube.com/watch?v=F2bQ5TSB-cE&feature=youtube_gdata_player},
	abstract = {What is Intelligence?
Intelligence is a very difficult concept (maybe thats the reason why many people try to avoid it or narrow it down).  I've worked on this question for many many years now, and we went through the literature; psychology literature, philosophy literature; AI literature) what individuals, researches, and also groups came up with definitions, they are very diverse.  But there seems to be one redcurrant theme and if you wnat to put it in one sentence,  then you could define intelligence as:
"an agents ability to achieve goals in a wide range of environments", or to succeed in a wide range of environments.
If you now look at this sentence and ask, "wow, how can this single sentence capture the complexity of intelligence?"  There are two answers to that. First: many aspect of that are emergent properties of intelligence, like being able to learn - if I want to succeed or solve a problem I need to acquire new knowledge, so learning is an emergent phenomenon this definition.
And the second answer is: this is just a sentence that contains a few words, what you really have to do, and that's the hard part, is to transform it into meaningful equations and then study these equations.  And that's what I have done in the last 12 years.

Bounded Rationality:
It is an interesting question whether resource bounds should be included in any definition of intelligence or not, and the natural answer is of course they should.  Well there are several problems, the first one is that nobody ever came up with a reasonable theory of bounded rationality (people have tried), so it seems to be very hard.  And this is not specific to AI or intelligence, but it seems to be symptomatic in science, so if you look at the several fields (physics the crown discipline) theories have been developed: Neuton's mechanics, General Relativity Theory, Quantum Field theory, the Standard Model of Particle Physics.  there are more and more precise, but they get less and less computable, and having a computable theory is not a principle in developing these theories, of course at some point you have to test these theories and you want to do something with them, and then you need a computable theory - this is a very difficult issue (and you have to approximate them or do something about it). But having computational resources built into the fundamentals of the theories, that is at least in physics, and if you look at other disciplines, that is not how things work.
You design theories so that they describe your phenomenon as well as possible and the computational aspect is secondary.  Of course if it is incomputable and you can't do anything with it, you have to come up with another theory, but this always comes second.  And only in computer science (and this comes naturally) computer scientists try to think about how they can design an efficient algorithm to solve my problem, and since AI is sitting in the computer science department traditionally, the mainstream thought is "how can I build a resource bounded artificial intelligent system".  And I agree that ultimately this is what we want.   But the problem is so hard I think, that we should take (or a large fraction of the scientists) this approach, model the problem first, define the problem first, and once we are confident that we have solved this problem, then go to the second phase, try to approximate the theory, try to make a computational theory out of it. And then there are many many possibilities, you could still try to create a resource bounded theory of intelligence, which will be very very hard if you want to have it very principled, or you do some heuristics... or .. or .. or... many options.  Or the short answer may be I am not smart enough to come up with a resource bounded theory of intelligence, therefore I only developed one without resource constraints (that would be the short answer).

AIXI:
Ok so now we have this informal definition that intelligence is an agents ability to succeed or achieve goals in a wide range of environments.  The point is you can formalize this theory, and we have done that and it is called AIXI.  Or Universal AI is the general field theory and AIXI is the particular agent which acts optimally in this sense.
So that works as follows: it has a planning component, and it has a learning component.  What the learning component does is, think about a robot walking around in the environment, and at the beginning it has no data/knowledge about the world, so what it has to do is acquire data/knowledge of the world and then build its own model of the world, how the world works.  And it does that, so there are very powerful general theories on how to learn a model from data, from very complex scenarios.  This theory is rooted in Kolomogrov complexity, algorithmic information theory - the basic idea is you look for the simplest model which describe your data efficiently well.},
	urldate = {2014-02-27},
	collaborator = {{Markus Hutter} and {Adam Ford}},
	month = sep,
	year = {2012}
}

@article{corominas-murtra_origins_2013,
	title = {On the origins of hierarchy in complex networks},
	issn = {0027-8424, 1091-6490},
	url = {http://www.pnas.org/content/early/2013/07/24/1300832110},
	doi = {10.1073/pnas.1300832110},
	abstract = {Hierarchy seems to pervade complexity in both living and artificial systems. Despite its relevance, no general theory that captures all features of hierarchy and its origins has been proposed yet. Here we present a formal approach resulting from the convergence of theoretical morphology and network theory that allows constructing a 3D morphospace of hierarchies and hence comparing the hierarchical organization of ecological, cellular, technological, and social networks. Embedded within large voids in the morphospace of all possible hierarchies, four major groups are identified. Two of them match the expected from random networks with similar connectivity, thus suggesting that nonadaptive factors are at work. Ecological and gene networks define the other two, indicating that their topological order is the result of functional constraints. These results are consistent with an exploration of the morphospace, using in silico evolved networks.},
	language = {en},
	urldate = {2014-03-13},
	journal = {Proceedings of the National Academy of Sciences},
	author = {Corominas-Murtra, Bernat and Goñi, Joaquín and Solé, Ricard V. and Rodríguez-Caso, Carlos},
	month = jul,
	year = {2013},
	pmid = {23898177},
	pages = {201300832},
	file = {Murtra.2013.OnTheOriginsOfHierarchyInComplexNetwork.pdf:/media/vveitas/LibraryKing/Insync/library/Murtra.2013.OnTheOriginsOfHierarchyInComplexNetwork.pdf:application/pdf}
}

@book{mesarovic_theory_1970,
	title = {Theory of {Hierarchical}, {Multilevel}, {Systems}},
	language = {en},
	publisher = {Academic Press},
	author = {Mesarović, Mihajlo D. and Macko, D. and Takahara, Yasuhiko},
	year = {1970},
	file = {Meserovic.1970.TheoryOfHierarchicalMultilevelSystems.pdf:/media/vveitas/LibraryKing/Insync/library/Meserovic.1970.TheoryOfHierarchicalMultilevelSystems.pdf:application/pdf}
}

@article{liu_controllability_2011,
	title = {Controllability of complex networks: supplementary information},
	volume = {473},
	copyright = {© 2011 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
	issn = {0028-0836},
	url = {http://www.nature.com/nature/journal/v473/n7346/full/nature10011.html},
	doi = {10.1038/nature10011},
	language = {en},
	number = {7346},
	urldate = {2014-03-13},
	journal = {Nature},
	author = {Liu, Yang-Yu and Slotine, Jean-Jacques and Barabási, Albert-László},
	month = may,
	year = {2011},
	pages = {167--173},
	file = {Liu.2011.EtAl.ControllabilityOfComplexNetworksSupplementaryInfromation.pdf:/media/vveitas/LibraryKing/Insync/library/Liu.2011.EtAl.ControllabilityOfComplexNetworksSupplementaryInfromation.pdf:application/pdf}
}

@article{jia_emergence_2013,
	title = {Emergence of bimodality in controlling complex networks},
	volume = {4},
	copyright = {© 2013 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
	url = {http://www.nature.com/ncomms/2013/130618/ncomms3002/full/ncomms3002.html},
	doi = {10.1038/ncomms3002},
	abstract = {Our ability to control complex systems is a fundamental challenge of contemporary science. Recently introduced tools to identify the driver nodes, nodes through which we can achieve full control, predict the existence of multiple control configurations, prompting us to classify each node in a network based on their role in control. Accordingly a node is critical, intermittent or redundant if it acts as a driver node in all, some or none of the control configurations. Here we develop an analytical framework to identify the category of each node, leading to the discovery of two distinct control modes in complex systems: centralized versus distributed control. We predict the control mode for an arbitrary network and show that one can alter it through small structural perturbations. The uncovered bimodality has implications from network security to organizational research and offers new insights into the dynamics and control of complex systems.},
	language = {en},
	urldate = {2014-03-13},
	journal = {Nature Communications},
	author = {Jia, Tao and Liu, Yang-Yu and Csóka, Endre and Pósfai, Márton and Slotine, Jean-Jacques and Barabási, Albert-László},
	month = jun,
	year = {2013},
	file = {Jia.EtAl.2013.EmergeOfBimodalityInControllingComplexNetworks.pdf:/media/vveitas/LibraryKing/Insync/library/Jia.EtAl.2013.EmergeOfBimodalityInControllingComplexNetworks.pdf:application/pdf}
}

@article{liu_controllability_2011-1,
	title = {Controllability of complex networks},
	volume = {473},
	copyright = {© 2011 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
	issn = {0028-0836},
	url = {http://www.nature.com/nature/journal/v473/n7346/full/nature10011.html},
	doi = {10.1038/nature10011},
	abstract = {The ultimate proof of our understanding of natural or technological systems is reflected in our ability to control them. Although control theory offers mathematical tools for steering engineered and natural systems towards a desired state, a framework to control complex self-organized systems is lacking. Here we develop analytical tools to study the controllability of an arbitrary complex directed network, identifying the set of driver nodes with time-dependent control that can guide the system’s entire dynamics. We apply these tools to several real networks, finding that the number of driver nodes is determined mainly by the network’s degree distribution. We show that sparse inhomogeneous networks, which emerge in many real complex systems, are the most difficult to control, but that dense and homogeneous networks can be controlled using a few driver nodes. Counterintuitively, we find that in both model and real systems the driver nodes tend to avoid the high-degree nodes.},
	language = {en},
	number = {7346},
	urldate = {2014-03-13},
	journal = {Nature},
	author = {Liu, Yang-Yu and Slotine, Jean-Jacques and Barabási, Albert-László},
	month = may,
	year = {2011},
	pages = {167--173},
	file = {Liu.2011.EtAl.ControllabilityOfComplexNetworks.pdf:/media/vveitas/LibraryKing/Insync/library/Liu.2011.EtAl.ControllabilityOfComplexNetworks.pdf:application/pdf}
}

@inproceedings{goertzel_embodied_2009,
	title = {The {Embodied} {Communication} {Prior}: {A} characterization of general intelligence in the context of {Embodied} social interaction},
	shorttitle = {The {Embodied} {Communication} {Prior}},
	doi = {10.1109/COGINF.2009.5250687},
	abstract = {We outline a general conceptual definition of real-world general intelligence that avoids the twin pitfalls of excessive mathematical generality, and excessive anthropomorphism. Drawing on prior literature, a definition of general intelligence is given, which defines the latter by reference to an assumed measure of the simplicity of goals and environments. The novel contribution presented is to gauge the simplicity of an entity in terms of the ease of communicating it within a community of embodied agents (the so-called embodied communication prior or ECP). Augmented by some further assumptions about the statistical structure of communicated knowledge, this choice is seen to lead to a model of intelligence in terms of distinct but interacting memory and cognitive subsystems dealing with procedural, declarative, sensory/episodic, attentional and intentional knowledge. A sister paper then extends these ideas to yield a "cognitive synergy theory" that suggests specific conclusions for the architecture of artificial general intelligences, based on the ECP.},
	booktitle = {8th {IEEE} {International} {Conference} on {Cognitive} {Informatics}, 2009. {ICCI} '09},
	author = {Goertzel, B.},
	month = jun,
	year = {2009},
	pages = {38--43},
	file = {Goertzel.2009.TheEmbodiedCommunicationPrior.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Goertzel.2009.TheEmbodiedCommunicationPrior.pdf:application/pdf}
}

@incollection{simondon_genesis_1992,
	address = {New York},
	title = {The {Genesis} of the {Individual}},
	isbn = {0942299299 (paper) 0942299302 (cloth)},
	booktitle = {Incorporations},
	publisher = {Zone},
	author = {Simondon, Gilbert},
	editor = {Crary, Jonathan and Kwinter, Sanford},
	year = {1992},
	keywords = {vveitas:life\_journeys},
	pages = {297--319},
	file = {Simondon.1992.TheGenesisOfTheIndividual.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Simondon.1992.TheGenesisOfTheIndividual.pdf:application/pdf}
}

@misc{altair_how_2012,
	type = {Blog},
	title = {How {Bayes} theorem is consistent with {Solomonoff} induction},
	url = {http://lesswrong.com/r/discussion/lw/di3/how_bayes_theorem_is_consistent_with_solomonoff/},
	language = {English},
	urldate = {2014-03-11},
	journal = {lesswrong.org},
	author = {Altair, Alex},
	year = {2012},
	file = {Altair.2012.HowBayesTheoremIsConsistentWithSolomonoffInduction.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Altair.2012.HowBayesTheoremIsConsistentWithSolomonoffInduction.pdf:application/pdf}
}

@incollection{sunehag_principles_2013,
	series = {Lecture {Notes} in {Computer} {Science}},
	title = {Principles of {Solomonoff} {Induction} and {AIXI}},
	copyright = {©2013 Springer-Verlag Berlin Heidelberg},
	isbn = {978-3-642-44957-4 978-3-642-44958-1},
	url = {http://link.springer.com/chapter/10.1007/978-3-642-44958-1_30},
	abstract = {We identify principles characterizing Solomonoff Induction by demands on an agent’s external behaviour. Key concepts are rationality, computability, indifference and time consistency. Furthermore, we discuss extensions to the full AI case to derive AIXI.},
	number = {7070},
	urldate = {2014-03-10},
	booktitle = {Algorithmic {Probability} and {Friends}. {Bayesian} {Prediction} and {Artificial} {Intelligence}},
	publisher = {Springer Berlin Heidelberg},
	author = {Sunehag, Peter and Hutter, Marcus},
	editor = {Dowe, David L.},
	month = jan,
	year = {2013},
	pages = {386--398},
	file = {Sunehag.Hutter.2012.PrinciplesOfSolomonoffInductionAndAIXI.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Sunehag.Hutter.2012.PrinciplesOfSolomonoffInductionAndAIXI.pdf:application/pdf}
}

@misc{altair_intuitive_2012,
	type = {Blog},
	title = {An {Intuitive} {Explanation} of {Solomonoff}'s {Induction}},
	url = {http://lesswrong.com/lw/dhg/an_intuitive_explanation_of_solomonoff_induction/},
	language = {English},
	urldate = {2014-03-10},
	journal = {lesswrong.org},
	author = {Altair, Alex},
	year = {2012},
	file = {Altair.2012.AnIntuitiveExplanationOfSolomonoffInduction.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Altair.2012.AnIntuitiveExplanationOfSolomonoffInduction.pdf:application/pdf}
}

@article{rathmanner_philosophical_2011,
	title = {A {Philosophical} {Treatise} of {Universal} {Induction}},
	url = {http://arxiv.org/abs/1105.5721},
	abstract = {Understanding inductive reasoning is a problem that has engaged mankind for thousands of years. This problem is relevant to a wide range of fields and is integral to the philosophy of science. It has been tackled by many great minds ranging from philosophers to scientists to mathematicians, and more recently computer scientists. In this article we argue the case for Solomonoff Induction, a formal inductive framework which combines algorithmic information theory with the Bayesian framework. Although it achieves excellent theoretical results and is based on solid philosophical foundations, the requisite technical knowledge necessary for understanding this framework has caused it to remain largely unknown and unappreciated in the wider scientific community. The main contribution of this article is to convey Solomonoff induction and its related concepts in a generally accessible form with the aim of bridging this current technical gap. In the process we examine the major historical contributions that have led to the formulation of Solomonoff Induction as well as criticisms of Solomonoff and induction in general. In particular we examine how Solomonoff induction addresses many issues that have plagued other inductive systems, such as the black ravens paradox and the confirmation problem, and compare this approach with other recent approaches.},
	urldate = {2014-03-10},
	journal = {arXiv:1105.5721 [cs, math]},
	author = {Rathmanner, Samuel and Hutter, Marcus},
	month = may,
	year = {2011},
	note = {Entropy, 13:6 (2011) pages 1076-1136},
	file = {Rathmanner.Hutter.2011.APhilosophicalTreatiseOfUniversalInduction.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Rathmanner.Hutter.2011.APhilosophicalTreatiseOfUniversalInduction.pdf:application/pdf}
}

@book{vernon_roadmap_2011,
	title = {A {Roadmap} for {Cognitive} {Development} in {Humanoid} {Robots}},
	isbn = {978-3-642-16904-5},
	abstract = {This book addresses the central role played by development in cognition. The focus is on applying our knowledge of development in natural cognitive systems, specifically human infants, to the problem of creating artificial cognitive systems in the guise of humanoid robots. The approach is founded on the three-fold premise that (a) cognition is the process by which an autonomous self-governing agent acts effectively in the world in which it is embedded, (b) the dual purpose of cognition is to increase the agent's repertoire of effective actions and its power to anticipate the need for future actions and their outcomes, and (c) development plays an essential role in the realization of these cognitive capabilities. Our goal in this book is to identify the key design principles for cognitive development. We do this by bringing together insights from four areas: enactive cognitive science, developmental psychology, neurophysiology, and computational modelling. This results in roadmap comprising a set of forty-three guidelines for the design of a cognitive architecture and its deployment in a humanoid robot. The book includes a case study based on the iCub, an open-systems humanoid robot which has been designed specifically as a common platform for research on embodied cognitive systems .},
	language = {en},
	publisher = {Springer},
	author = {Vernon, David and Hofsten, Claes von and Fadiga, Luciano},
	month = dec,
	year = {2011},
	file = {Vernon.EtAl.2010.ARoadmapForCognitiveDevelopmentInHumanoidRobots.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Vernon.EtAl.2010.ARoadmapForCognitiveDevelopmentInHumanoidRobots.pdf:application/pdf}
}

@inproceedings{vernon_reconciling_2011,
	title = {Reconciling {Autonomy} with {Utility}: {A} {Roadmap} and {Architecture} for {Cognitive} {Development}.},
	booktitle = {{BICA}},
	author = {Vernon, David},
	year = {2011},
	pages = {412--418},
	file = {Vernon.2011.ReconcilingAutonomyWithUtilityARoadmapAndArchitectureForCognitiveDevelopment.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Vernon.2011.ReconcilingAutonomyWithUtilityARoadmapAndArchitectureForCognitiveDevelopment.pdf:application/pdf}
}

@article{gabora_evolution_2005,
	title = {Evolution as context-driven actualisation of potential: toward an interdisciplinary theory of change of state},
	volume = {30},
	issn = {0308-0188, 1743-2790},
	shorttitle = {Evolution as context-driven actualisation of potential},
	url = {http://www.maneyonline.com/doi/abs/10.1179/030801805X25873},
	doi = {10.1179/030801805X25873},
	number = {1},
	urldate = {2014-03-05},
	journal = {Interdisciplinary Science Reviews},
	author = {Gabora, Liane and Aerts, Diederik},
	month = mar,
	year = {2005},
	pages = {69--88},
	file = {Gabora.Aerts.2005.EvolutionAsContextDrivenActualizationOfPotential.Context.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Gabora.Aerts.2005.EvolutionAsContextDrivenActualizationOfPotential.Context.pdf:application/pdf}
}

@article{potapov_cognitive_2012,
	title = {Cognitive {Bias} for {Universal} {Algorithmic} {Intelligence}},
	url = {http://arxiv.org/abs/1209.4290},
	abstract = {Existing theoretical universal algorithmic intelligence models are not practically realizable. More pragmatic approach to artificial general intelligence is based on cognitive architectures, which are, however, non-universal in sense that they can construct and use models of the environment only from Turing-incomplete model spaces. We believe that the way to the real AGI consists in bridging the gap between these two approaches. This is possible if one considers cognitive functions as a "cognitive bias" (priors and search heuristics) that should be incorporated into the models of universal algorithmic intelligence without violating their universality. Earlier reported results suiting this approach and its overall feasibility are discussed on the example of perception, planning, knowledge representation, attention, theory of mind, language, and some others.},
	urldate = {2014-03-05},
	journal = {arXiv:1209.4290 [cs]},
	author = {Potapov, Alexey and Rodionov, Sergey and Myasnikov, Andrew and Begimov, Galymzhan},
	month = sep,
	year = {2012},
	file = {Potapov.EtAl.2012.CognitiveBiasForUniversalAlgorithmicIntelligence.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Potapov.EtAl.2012.CognitiveBiasForUniversalAlgorithmicIntelligence.pdf:application/pdf}
}

@incollection{heyes_nested_2001,
	title = {Nested {Hierarchies} of {Vicarious} {Selectors}},
	isbn = {978-0-7914-9017-4},
	language = {en},
	booktitle = {Selection {Theory} and {Social} {Construct}: {The} {Evolutionary} {Naturalistic} {Epistemology} of {Donald} {T}. {Campbell}},
	publisher = {SUNY Press},
	author = {Kim, Kyung-Man},
	editor = {Heyes, Cecilia M. and Hull, David L.},
	month = aug,
	year = {2001},
	keywords = {vveitas:world\_of\_views},
	pages = {15--34}
}

@article{campbell_bayesian_2010,
	title = {Bayesian {Methods} and {Universal} {Darwinism}},
	url = {http://arxiv.org/abs/1001.0068},
	abstract = {Bayesian methods since the time of Laplace have been understood by their practitioners as closely aligned to the scientific method. Indeed a recent champion of Bayesian methods, E. T. Jaynes, titled his textbook on the subject Probability Theory: the Logic of Science. Many philosophers of science including Karl Popper and Donald Campbell have interpreted the evolution of Science as a Darwinian process consisting of a 'copy with selective retention' algorithm abstracted from Darwin's theory of Natural Selection. Arguments are presented for an isomorphism between Bayesian Methods and Darwinian processes. Universal Darwinism, as the term has been developed by Richard Dawkins, Daniel Dennett and Susan Blackmore, is the collection of scientific theories which explain the creation and evolution of their subject matter as due to the operation of Darwinian processes. These subject matters span the fields of atomic physics, chemistry, biology and the social sciences. The principle of Maximum Entropy states that systems will evolve to states of highest entropy subject to the constraints of scientific law. This principle may be inverted to provide illumination as to the nature of scientific law. Our best cosmological theories suggest the universe contained much less complexity during the period shortly after the Big Bang than it does at present. The scientific subject matter of atomic physics, chemistry, biology and the social sciences has been created since that time. An explanation is proposed for the existence of this subject matter as due to the evolution of constraints in the form of adaptations imposed on Maximum Entropy. It is argued these adaptations were discovered and instantiated through the operations of a succession of Darwinian processes.},
	urldate = {2014-03-04},
	journal = {arXiv:1001.0068 [physics]},
	author = {Campbell, John},
	month = jan,
	year = {2010},
	note = {The 29th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. AIP Conference Proceedings, Volume 1193, pp. 40-47 (2009)},
	file = {Campbell.2010.BayesianMethodsAndUniversalDarwinism.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Campbell.2010.BayesianMethodsAndUniversalDarwinism.pdf:application/pdf}
}

@incollection{heyes_universal_2001,
	title = {Universal {Selection} {Theory} and the  {Complementarity} of {Different} {Types} of  {Blind} {Variation} and {Selective} {Retention}},
	isbn = {978-0-7914-9017-4},
	language = {en},
	booktitle = {Selection {Theory} and {Social} {Construct}: {The} {Evolutionary} {Naturalistic} {Epistemology} of {Donald} {T}. {Campbell}},
	publisher = {SUNY Press},
	author = {Cziko, Gary},
	editor = {Heyes, Cecilia M. and Hull, David L.},
	month = aug,
	year = {2001},
	keywords = {vveitas:world\_of\_views},
	pages = {15--34}
}

@inproceedings{goertzel_toward_2009,
	title = {Toward a {Formal} {Characterization} of {Real}-{World} {General} {Intelligence}},
	abstract = {Two new formal definitions of intelligence are presented, the ”pragmatic general intelligence ” and ”efficient pragmatic general intelligence. ” Largely inspired by Legg and Hutter’s formal definition of ”universal intelligence, ” the goal of these definitions is to capture a notion of general intelligence that more closely models that possessed by humans and practical AI systems, which combine an element of universality with a certain degree of specialization to particular environments and goals. Pragmatic general intelligence measures the capability of an agent to achieve goals in environments, relative to prior distributions over goal and environment space. Efficient pragmatic general intelligences measures this same capability, but normalized by the amount of computational resources utilized in the course of the goal-achievement. A methodology is described for estimating these theoretical quantities based on observations of a real biological or artificial system operating in a real environment. Finally, a measure of the ”degree of generality ” of an intelligent system is presented, allowing a rigorous distinction between ”general AI ” and ”narrow AI.”},
	booktitle = {Proceedings of the 3rd {Conference} on {Artificial} {General} {Intelligence}},
	publisher = {AGI},
	author = {Goertzel, Ben},
	year = {2009},
	pages = {19--24}
}

@article{veness_monte_2009,
	title = {A {Monte} {Carlo} {AIXI} {Approximation}},
	url = {http://arxiv.org/abs/0909.0801},
	abstract = {This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. Our approach is based on a direct approximation of AIXI, a Bayesian optimality notion for general reinforcement learning agents. Previously, it has been unclear whether the theory of AIXI could motivate the design of practical algorithms. We answer this hitherto open question in the affirmative, by providing the first computationally feasible approximation to the AIXI agent. To develop our approximation, we introduce a new Monte-Carlo Tree Search algorithm along with an agent-specific extension to the Context Tree Weighting algorithm. Empirically, we present a set of encouraging results on a variety of stochastic and partially observable domains. We conclude by proposing a number of directions for future research.},
	urldate = {2014-03-03},
	journal = {arXiv:0909.0801 [cs, math]},
	author = {Veness, Joel and Ng, Kee Siong and Hutter, Marcus and Uther, William and Silver, David},
	month = sep,
	year = {2009},
	file = {Veness.EtAl.2010.AMonteCArloAIXIApproximation.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Veness.EtAl.2010.AMonteCArloAIXIApproximation.pdf:application/pdf}
}

@article{hutter_create_2013,
	title = {To {Create} a {Super}-{Intelligent} {Machine}, {Start} with an {Equation}},
	volume = {November},
	url = {http://theconversation.com/to-create-a-super-intelligent-machine-start-with-an-equation-20756},
	abstract = {Intelligence is a very difficult concept and, until recently, no one has succeeded in giving it a satisfactory formal definition. Most researchers have given up grappling with the notion of intelligence in full generality, and instead focus on related but more limited concepts – but I argue that mathematically defining intelligence is not only possible, but crucial to understanding and developing super-intelligent machines. From this, my research group has even successfully developed software that can learn to play Pac-Man from scratch.},
	number = {29},
	journal = {The Conversation},
	author = {Hutter, Marcus},
	year = {2013},
	pages = {1--5},
	file = {Hutter.2013.ToCreateASuperIntelligentMachineStartWithAnEquation.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Hutter.2013.ToCreateASuperIntelligentMachineStartWithAnEquation.pdf:application/pdf}
}

@article{simonton_creative_2010,
	title = {Creative thought as blind-variation and selective-retention: combinatorial models of exceptional creativity},
	volume = {7},
	issn = {1873-1457},
	shorttitle = {Creative thought as blind-variation and selective-retention},
	doi = {10.1016/j.plrev.2010.02.002},
	abstract = {Campbell (1960) proposed that creative thought should be conceived as a blind-variation and selective-retention process (BVSR). This article reviews the developments that have taken place in the half century that has elapsed since his proposal, with special focus on the use of combinatorial models as formal representations of the general theory. After defining the key concepts of blind variants, creative thought, and disciplinary context, the combinatorial models are specified in terms of individual domain samples, variable field size, ideational combination, and disciplinary communication. Empirical implications are then derived with respect to individual, domain, and field systems. These abstract combinatorial models are next provided substantive reinforcement with respect to findings concerning the cognitive processes, personality traits, developmental factors, and social contexts that contribute to creativity. The review concludes with some suggestions regarding future efforts to explicate creativity according to BVSR theory.},
	language = {eng},
	number = {2},
	journal = {Physics of life reviews},
	author = {Simonton, Dean Keith},
	month = jun,
	year = {2010},
	pmid = {20416854},
	pages = {156--179},
	file = {Simonton.2010.CreativeThoughtAsBlindVariationAndSelectiveREtentionCombinatorialModelsOfExceptionalCreativity.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Simonton.2010.CreativeThoughtAsBlindVariationAndSelectiveREtentionCombinatorialModelsOfExceptionalCreativity.pdf:application/pdf}
}

@article{pereira_evolving_2009,
	title = {Evolving towards an evolutionary epistemology},
	volume = {1},
	issn = {1755-0556, 1755-0564},
	url = {http://www.inderscience.com/link.php?id=26718},
	doi = {10.1504/IJRIS.2009.026718},
	number = {1/2},
	urldate = {2014-02-28},
	journal = {International Journal of Reasoning-based Intelligent Systems},
	author = {Pereira, Luis Moniz},
	year = {2009},
	pages = {68},
	file = {Pereira.EvolvingTowardsAnEvolutionaryEpistemology.pdf:/media/vveitas/LibraryKing/Insync/library/Pereira.EvolvingTowardsAnEvolutionaryEpistemology.pdf:application/pdf}
}

@inproceedings{mccarthy_philosophical_1969,
	title = {Some {Philosophical} {Problems} from the {Standpoint} of {Artificial} {Intelligence}},
	abstract = {A computer program capable of acting intelligently in the world must have a general representation of the world in terms of which its inputs are interpreted. Designing such a program requires commitments about what knowledge},
	booktitle = {Machine {Intelligence}},
	publisher = {Edinburgh University Press},
	author = {Mccarthy, John and Hayes, Patrick J.},
	year = {1969},
	pages = {463--502},
	file = {McCarthy.Hayes.1969.SomePhilosophicalIssuesFromTheStandpointOfArtificialIntelligence.pdf:/media/vveitas/LibraryKing/Insync/library/McCarthy.Hayes.1969.SomePhilosophicalIssuesFromTheStandpointOfArtificialIntelligence.pdf:application/pdf}
}

@incollection{michie_epistemology_1984,
	title = {Epistemology and {Artificial} {Intelligence}},
	isbn = {978-0-85224-493-7},
	language = {en},
	booktitle = {Expert systems in the micro-electronic age},
	publisher = {Edinburgh University Press},
	author = {Sloman, Aaron},
	editor = {Michie, Donald},
	month = jun,
	year = {1984},
	file = {Sloman.1979.EpistemologyAndArtificialIntelligence.pdf:/media/vveitas/LibraryKing/Insync/library/Sloman.1979.EpistemologyAndArtificialIntelligence.pdf:application/pdf}
}

@article{legg_formal_2006,
	title = {A {Formal} {Measure} of {Machine} {Intelligence}},
	url = {http://arxiv.org/abs/cs/0605024},
	abstract = {A fundamental problem in artificial intelligence is that nobody really knows what intelligence is. The problem is especially acute when we need to consider artificial systems which are significantly different to humans. In this paper we approach this problem in the following way: We take a number of well known informal definitions of human intelligence that have been given by experts, and extract their essential features. These are then mathematically formalised to produce a general measure of intelligence for arbitrary machines. We believe that this measure formally captures the concept of machine intelligence in the broadest reasonable sense.},
	urldate = {2014-02-27},
	journal = {arXiv:cs/0605024},
	author = {Legg, Shane and Hutter, Marcus},
	month = may,
	year = {2006},
	note = {Proc. 15th Annual Machine Learning Conference of \{B\}elgium and The Netherlands (Benelearn 2006) pages 73-80},
	file = {Legg.Hutter.2006.AFormalMeasureOfMachineIntelligence.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Legg.Hutter.2006.AFormalMeasureOfMachineIntelligence.pdf:application/pdf}
}

@article{legg_universal_2007,
	title = {Universal {Intelligence}: {A} {Definition} of {Machine} {Intelligence}},
	shorttitle = {Universal {Intelligence}},
	url = {http://arxiv.org/abs/0712.3329},
	abstract = {A fundamental problem in artificial intelligence is that nobody really knows what intelligence is. The problem is especially acute when we need to consider artificial systems which are significantly different to humans. In this paper we approach this problem in the following way: We take a number of well known informal definitions of human intelligence that have been given by experts, and extract their essential features. These are then mathematically formalised to produce a general measure of intelligence for arbitrary machines. We believe that this equation formally captures the concept of machine intelligence in the broadest reasonable sense. We then show how this formal definition is related to the theory of universal optimal learning agents. Finally, we survey the many other tests and definitions of intelligence that have been proposed for machines.},
	urldate = {2014-02-27},
	journal = {arXiv:0712.3329 [cs]},
	author = {Legg, Shane and Hutter, Marcus},
	month = dec,
	year = {2007},
	note = {Minds \& Machines, 17:4 (2007) pages 391-444}
}

@article{helbing_economics_2013,
	title = {Economics 2.0: {The} {Natural} {Step} towards {A} {Self}-{Regulating}, {Participatory} {Market} {Society}},
	shorttitle = {Economics 2.0},
	url = {http://arxiv.org/abs/1305.4078},
	abstract = {Despite all our great advances in science, technology and financial innovations, many societies today are struggling with a financial, economic and public spending crisis, over-regulation, and mass unemployment, as well as lack of sustainability and innovation. Can we still rely on conventional economic thinking or do we need a new approach? I argue that, as the complexity of socio-economic systems increases, networked decision-making and bottom-up self-regulation will be more and more important features. It will be explained why, besides the "homo economicus" with strictly self-regarding preferences, natural selection has also created a "homo socialis" with other-regarding preferences. While the "homo economicus" optimizes the own prospects in separation, the decisions of the "homo socialis" are self-determined, but interconnected, a fact that may be characterized by the term "networked minds". Notably, the "homo socialis" manages to earn higher payoffs than the "homo economicus". I show that the "homo economicus" and the "homo socialis" imply a different kind of dynamics and distinct aggregate outcomes. Therefore, next to the traditional economics for the "homo economicus" ("economics 1.0"), a complementary theory must be developed for the "homo socialis". This economic theory might be called "economics 2.0" or "socionomics". The names are justified, because the Web 2.0 is currently promoting a transition to a new market organization, which benefits from social media platforms and could be characterized as "participatory market society". To thrive, the "homo socialis" requires suitable institutional settings such a particular kinds of reputation systems, which will be sketched in this paper. I also propose a new kind of money, so-called "qualified money", which may overcome some of the problems of our current financial system.},
	urldate = {2014-02-23},
	journal = {arXiv:1305.4078 [physics, q-fin]},
	author = {Helbing, Dirk},
	month = may,
	year = {2013},
	file = {Helbing.2013.Economics2.0.TheNaturalStepTowardsASelfRegulatingParticipatoryMarketSociety.pdf:/media/vveitas/LibraryKing/vveitas@gmail.com/library/Helbing.2013.Economics2.0.TheNaturalStepTowardsASelfRegulatingParticipatoryMarketSociety.pdf:application/pdf}
}

@book{taleb_black_2008,
	title = {The {Black} {Swan}: {The} {Impact} of the {Highly} {Improbable}},
	isbn = {978-0-14-103459-1},
	shorttitle = {The {Black} {Swan}},
	abstract = {A condensed guide to life from the bestselling author of The Black Swan, Nassim Nicholas Taleb's The Bed of Procrustes is an invaluable collection of aphorisms navigate the modern world Why are we so often unwilling to accept that life is unpredictable? In this brilliant book Nassim Nicholas Taleb distils his idiosyncratic wisdom to demolish our illusions, contrasting the classical values of courage, elegance and erudition against modern philistinism and phoniness. Only by accepting what we don't know, he shows, can we see the world as it really is. 'Happily provocative ... blistering ... his observations concern superiority, wealth, suckerdom, academia, modernity, technology and the all-purpose, ignorant "they" ... very quotable'  The New York Times 'A master philosopher'  The Times 'Taleb's crystalline nuggets of thought stand alone like esoteric poems'  Financial Times 'Opinionated and witty ... It showcases his wit and learning, and provides ways to fillet his enemies'  Independent on Sunday Nassim Nicholas Taleb spends most of his time as a flâneur, meditating in cafés across the planet. A former trader, he is currently Distinguished Professor of Risk Engineering at New York University. He is the author of Fooled by Randomness and The Black Swan, an international bestseller which has become an intellectual, social, and cultural touchstone.},
	language = {en},
	publisher = {Penguin Books Limited},
	author = {Taleb, Nassim Nicholas},
	month = apr,
	year = {2008},
	keywords = {vveitas:life\_journeys}
}

@book{semler_maverick!:_2001,
	address = {London},
	title = {Maverick!: the success story behind the world's most unusual workplace},
	isbn = {0-7126-7886-7 978-0-7126-7886-5},
	shorttitle = {Maverick!},
	language = {Translation of: Virando a própria mesa.},
	publisher = {Arrow},
	author = {Semler, Ricardo},
	year = {2001}
}

@article{langton_computation_1990,
	title = {Computation at the edge of chaos: {Phase} transitions and emergent computation},
	volume = {42},
	issn = {0167-2789},
	shorttitle = {Computation at the edge of chaos},
	url = {http://www.sciencedirect.com/science/article/pii/016727899090064V},
	doi = {10.1016/0167-2789(90)90064-V},
	abstract = {In order for computation to emerge spontaneously and become an important factor in the dynamics of a system, the material substrate must support the primitive functions required for computation: the transmission, storage, and modification of information. Under what conditions might we expect physical systems to support such computational primitives?
This paper presents research on cellular automata which suggests that the optimal conditions for the support of information transmission, storage, and modification, are achieved in the vicinity of a phase transition. We observe surprising similarities between the behaviors of computations and systems near phase transitions, finding analogs of computational complexity classes and the halting problem within the phenomenology of phase transitions.
We conclude that there is a fundamental connection between computation and phase transitions, especially second-order or “critical” transitions, and discuss some of the implications for our understanding of nature if such a connection is borne out.},
	number = {1–3},
	urldate = {2014-02-22},
	journal = {Physica D: Nonlinear Phenomena},
	author = {Langton, Chris G.},
	month = jun,
	year = {1990},
	pages = {12--37},
	file = {Langton.1990.ComputationAtTheEdgeOfChaos.pdf:/home/kabir/vveitas@gmail.com/library/Langton.1990.ComputationAtTheEdgeOfChaos.pdf:application/pdf}
}

@article{mcculloch_heterarchy_1945,
	title = {A heterarchy of values determined by the topology of nervous nets},
	volume = {7},
	issn = {0007-4985, 1522-9602},
	url = {http://link.springer.com/article/10.1007/BF02478457},
	doi = {10.1007/BF02478457},
	abstract = {Because of the dromic character of purposive activities, the closed circuits sustaining them and their interaction can be treated topologically. It is found that to the value anomaly, whenA is preferred toB,B toC, butC toA, there corresponds a diadrome, or circularity in the net which is not the path of any drome and which cannot be mapped without a diallel on a surface sufficient to map the dromes. Thus the apparent inconsistency of preference is shown to indicate consistency of an order too high to permit construction of a scale of values, but submitting to finite topological analysis based on the finite number of nervous cells and their possible connections.},
	language = {en},
	number = {2},
	urldate = {2014-02-22},
	journal = {The bulletin of mathematical biophysics},
	author = {McCulloch, Warren S.},
	month = jun,
	year = {1945},
	pages = {89--93}
}

@book{banathy_designing_1996,
	title = {Designing {Social} {Systems} in a {Changing} {World}},
	isbn = {978-0-306-45251-2},
	abstract = {In this original text/reference, Bela H. Banathy discusses a broad range of design approaches, models, methods, and tools, together with the theoretical and philosophical bases of social systems design. he explores the existing knowledge bases of systems design; introduces and integrates concepts from other fields that contribute to design thinking and practice; and thoroughly explains how competence in social systems design empowers people to direct their progress and create a truly participative democracy. Based on advanced learning theory and practice, the text's material is enhanced by helpful diagrams that illustrate novel concepts and problem sets that allow readers to apply these concepts.},
	language = {en},
	publisher = {Springer},
	author = {Banathy, Bela H.},
	month = dec,
	year = {1996},
	keywords = {vveitas:social\_cognition},
	file = {Banathy.1996.DesigningSocialSystemsInAChangingWorld.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Banathy.1996.DesigningSocialSystemsInAChangingWorld.pdf:application/pdf}
}

@book{hofstadter_fluid_1996,
	edition = {1},
	title = {Fluid {Concepts} {And} {Creative} {Analogies}: {Computer} {Models} {Of} {The} {Fundamental} {Mechanisms} {Of} {Thought}},
	isbn = {0-465-02475-0},
	shorttitle = {Fluid {Concepts} {And} {Creative} {Analogies}},
	publisher = {Basic Books},
	author = {Hofstadter, Douglas R.},
	month = mar,
	year = {1996},
	file = {Hofstadler.FluidConceptsAndCreativeAnalogies.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Hofstadler.FluidConceptsAndCreativeAnalogies.pdf:application/pdf}
}

@book{abelson_structure_1996,
	edition = {2},
	title = {Structure and {Interpretation} of {Computer} {Programs} - 2nd {Edition}},
	isbn = {0-262-01153-0},
	publisher = {The MIT Press},
	author = {Abelson, Harold and Sussman, Gerald Jay},
	month = jul,
	year = {1996},
	file = {Abelson.Sussman.1996.StructureAndInterpretatonOfComputerPrograms.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Abelson.Sussman.1996.StructureAndInterpretatonOfComputerPrograms.pdf:application/pdf}
}

@book{eden_singularity_2013,
	title = {Singularity {Hypotheses}: {A} {Scientific} and {Philosophical} {Assessment}},
	isbn = {978-3-642-32559-5},
	shorttitle = {Singularity {Hypotheses}},
	abstract = {Singularity Hypotheses: A Scientific and Philosophical Assessment offers authoritative, jargon-free essays and critical commentaries on accelerating technological progress and the notion of technological singularity. It focuses on conjectures about the intelligence explosion, transhumanism, and whole brain emulation. Recent years have seen a plethora of forecasts about the profound, disruptive impact that is likely to result from further progress in these areas. Many commentators however doubt the scientific rigor of these forecasts, rejecting them as speculative and unfounded. We therefore invited prominent computer scientists, physicists, philosophers, biologists, economists and other thinkers to assess the singularity hypotheses. Their contributions go beyond speculation, providing deep insights into the main issues and a balanced picture of the debate.},
	language = {en},
	publisher = {Springer London, Limited},
	author = {Eden, Amnon H. and Moor, James H. and Soraker, Johnny H. and Steinhart, Eric},
	month = apr,
	year = {2013},
	file = {EdenEtAl(Eds).2012Draft.SingularityHypotheses.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/EdenEtAl(Eds).2012Draft.SingularityHypotheses.pdf:application/pdf}
}

@inproceedings{taylor_mesoscopic_1998,
	title = {Mesoscopic {Analysis} of {Self}-{Evolution} in an {Artificial} {Chemistry}},
	abstract = {In an algorithmic artificial chemistry the objects (molecules) are data and the interactions (reactions) among them are defined by an algorithm. The same object can appear in two forms: (1) as a machine (operator) or (2) as data (operand). Thus, the same object can, on the one hand, process other objects or, on the other hand, it can be processed. This dualism enables to implicitly define a constructive artificial chemistry which exhibits quite complex behavior. Remarkably, even evolutionary behavior emerged in our experiments, without defining any explicit variation operators or fitness-function. In addition to microscopic methods (e.g., monitoring the actions of single molecules) and macroscopic measures (e.g., diversity or complexity) we developed a stepwise mesoscopic analysis method based on classification and dynamic clustering. Knowledge about the system is accumulated by an iterative process in which measuring tools (classificators) extract information which i...},
	booktitle = {Artificial {Life} {VI}: {Proceedings} of the {Sixth} {International} {Conference} on {Artificial} {Life}},
	publisher = {MIT Press},
	author = {Taylor, Charles E. and Dittrich, Peter and Ziegler, Jens and Banzhaf, Wolfgang},
	year = {1998},
	pages = {95--103}
}

@article{young_gut_2012,
	title = {Gut instincts: {The} secrets of your second brain},
	volume = {216},
	issn = {0262-4079},
	shorttitle = {Gut instincts},
	url = {http://www.sciencedirect.com/science/article/pii/S0262407912632047},
	doi = {10.1016/S0262-4079(12)63204-7},
	abstract = {When it comes to your moods, decisions and behaviour, the brain in your head is not the only one doing the thinking},
	number = {2895},
	urldate = {2013-07-16},
	journal = {New Scientist},
	author = {Young, Emma},
	month = dec,
	year = {2012},
	pages = {38--42},
	file = {E.Young.2012.GutInstinctsTheSecretsOfYourSecondBrain.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/E.Young.2012.GutInstinctsTheSecretsOfYourSecondBrain.pdf:application/pdf}
}

@inproceedings{dittrich_mesoscopic_1998,
	address = {Los Angeles},
	title = {Mesoscopic {Analysis} of an {Artificial} {Chemistry} with {Self}-organizing {Topology}},
	url = {http://users.minet.uni-jena.de/~dittrich//p/DZB98.html},
	abstract = {this paper we present a stepwise mesoscopic analysis method for artificial chemistries, which might be applied to other population-based systems as well. In this mesoscopic analysis the population is decomposed into groups. The decomposition is based on so called classifiers},
	language = {English},
	booktitle = {Proc. of '{Artificial} {Life} {VI}'},
	publisher = {MIT Press},
	author = {Dittrich, Peter and Ziegler, Jens and Banzhaf, Wolfgang},
	year = {1998},
	pages = {95--103},
	file = {Dittrichetal.MesoscopicAnalysisofanArtificialChemistrywithSelf-organizingTopology-annotated.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Dittrichetal.MesoscopicAnalysisofanArtificialChemistrywithSelf-organizingTopology-annotated.pdf:application/pdf}
}

@book{minsky_emotion_2006,
	title = {The {Emotion} {Machine}: {Commonsense} {Thinking}, {Artificial} {Intelligence}, and the {Future} of the {Human} {Mind}},
	isbn = {1-4165-7930-3},
	shorttitle = {The {Emotion} {Machine}},
	abstract = {In this mind-expanding book, scientific pioneer Marvin Minsky continues his groundbreaking research, offering a fascinating new model for how our minds work. He argues persuasively that emotions, intuitions, and feelings are not distinct things, but different ways of thinking.   By examining these different forms of mind activity, Minsky says, we can explain why our thought sometimes takes the form of carefully reasoned analysis and at other times turns to emotion. He shows how our minds progress from simple, instinctive kinds of thought to more complex forms, such as consciousness or self-awareness. And he argues that because we tend to see our thinking as fragmented, we fail to appreciate what powerful thinkers we really are. Indeed, says Minsky, if thinking can be understood as the step-by-step process that it is, then we can build machines -- artificial intelligences -- that not only can assist with our thinking by thinking as we do but have the potential to be as conscious as we are.   Eloquently written, The Emotion Machine is an intriguing look into a future where more powerful artificial intelligences await.},
	language = {en},
	publisher = {Simon and Schuster},
	author = {Minsky, Marvin},
	month = nov,
	year = {2006},
	file = {Minsky.2006.TheEmotionMachine.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Minsky.2006.TheEmotionMachine.pdf:application/pdf}
}

@book{minsky_society_1988,
	title = {Society {Of} {Mind}},
	isbn = {978-0-671-65713-0},
	abstract = {Marvin Minsky -- one of the fathers of computer science and cofounder of the Artificial Intelligence Laboratory at MIT -- gives a revolutionary answer to the age-old question: "How does the mind work?"  Minsky brilliantly portrays the mind as a "society" of tiny components that are themselves mindless. Mirroring his theory, Minsky boldly casts The Society of Mind as an intellectual puzzle whose pieces are assembled along the way. Each chapter -- on a self-contained page -- corresponds to a piece in the puzzle. As the pages turn, a unified theory of the mind emerges, like a mosaic. Ingenious, amusing, and easy to read, The Society of Mind is an adventure in imagination.},
	language = {en},
	publisher = {Simon \& Schuster},
	author = {Minsky, Marvin},
	month = mar,
	year = {1988},
	keywords = {vveitas:cognitive\_development},
	file = {Minsky.1988.TheSocietyOfMind.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Minsky.1988.TheSocietyOfMind.pdf:application/pdf}
}

@misc{deutsch_creative_2012,
	title = {Creative {Blocks}},
	url = {http://www.aeonmagazine.com/being-human/david-deutsch-artificial-intelligence/},
	abstract = {The very laws of physics imply that artificial intelligence must be possible. What's holding us up?},
	urldate = {2013-07-14},
	journal = {Aeon Magazine},
	author = {Deutsch, David},
	year = {2012},
	file = {Deutch.2012.CreativeBlocks.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Deutch.2012.CreativeBlocks.pdf:application/pdf}
}

@book{chein_graph-based_2009,
	address = {London, UK},
	series = {Advanced {Information} and {Knowledge} {Processing}},
	title = {Graph-based {Knowledge} {Representation} - {Computational} {Foundations} of {Conceptual} {Graphs}},
	isbn = {978-1-84800-285-2},
	url = {http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-1-84800-285-2},
	abstract = {This book studies a graph-based knowledge representation and reasoning formalism stemming from conceptual graphs, with a substantial focus on the computational properties.Knowledge can be symbolically represented in many ways, and ...},
	urldate = {2013-07-14},
	publisher = {Springer},
	author = {Chein, Michel and Mugnier, Marie-Laure},
	year = {2009},
	file = {Chein.Mugner.2009.Graph-basedKnowledgeRepresentation.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Chein.Mugner.2009.Graph-basedKnowledgeRepresentation.pdf:application/pdf}
}

@book{barabasi_network_2013,
	title = {Network {Science} {Book}},
	url = {http://barabasilab.neu.edu/networksciencebook/},
	abstract = {The power of network science, the beauty of network visualization.},
	urldate = {2013-07-13},
	author = {Barabasi, Albert-Laszlo},
	year = {2013},
	file = {Barabasi.2013.NetworkScienceCh1-5.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Barabasi.2013.NetworkScienceCh1-5.pdf:application/pdf}
}

@misc{armstrong_kurzweils_2012,
	type = {Blog},
	title = {Kurzweil's predictions: good accuracy, poor self-calibration},
	url = {http://lesswrong.com/lw/diz/kurzweils_predictions_good_accuracy_poor/},
	language = {English},
	urldate = {2012-01-11},
	journal = {lesswrong.org},
	author = {Armstrong, Stuart},
	year = {2012},
	file = {Armstrong.2012.KurtzweilsPredictionsGoodAccuracyPoorSelf-calibration.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Armstrong.2012.KurtzweilsPredictionsGoodAccuracyPoorSelf-calibration.pdf:application/pdf}
}

@misc{armstrong_ai_2012,
	type = {Blog},
	title = {{AI} timeline predictions: are we getting better?},
	url = {http://lesswrong.com/lw/e36/ai_timeline_predictions_are_we_getting_better/},
	language = {English},
	urldate = {2012-01-11},
	journal = {lesswrong.org},
	author = {Armstrong, Stuart},
	year = {2012},
	file = {Armstrong.2012.AITimelinePredictionsAreWeGettingBetter.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Armstrong.2012.AITimelinePredictionsAreWeGettingBetter.pdf:application/pdf}
}

@inproceedings{dittrich_topological_1997,
	title = {A {Topological} {Structure} {Based} on {Hashing} - {Emergence} of a "{Spatial}" {Organisation}},
	abstract = {A topological structure based on hashing for an algorithmic reaction system is introduced. Hashing, as a very efficient storage method for certain problems, uses an important property of the computer: Its ability to accurately access a specific address in memory space. It is shown, how a selforganising system can be built with this method. We discuss experiments with a reaction system based on the resulting hash topology.  Keywords: artificial life, self-evolution, prebiotic evolution, molecular computer, self-programming, autokatalytic reaction system, hypercycle, self-replication  1 Introduction  Computer models can be used to study complex phenomena of self-organization. Life itself has become the topic of such studies in recent years [13]. A sub-class of models are systems that are inspired by chemical reaction systems [8, 15, 18]. Other simulations intend to model other levels of life-like behavior, e.g. the evolution of cells and organisms [14, 16]. These models nearly always app...},
	booktitle = {Fourth {European} {Conference} on {Artificial} {Life} ({ECAL}97},
	author = {Dittrich, Peter and Banzhaf, Wolfgang},
	year = {1997},
	pages = {28--31},
	file = {Dittrich.Banzhaf.1997.ATopologicalStructureBasedOnHashingEmergenceOfASpatialOrganization.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Dittrich.Banzhaf.1997.ATopologicalStructureBasedOnHashingEmergenceOfASpatialOrganization.pdf:application/pdf}
}

@article{dittrich_artificial_2001,
	title = {Artificial {Chemistries} - {A} {Review}},
	volume = {7},
	url = {http://www.mitpressjournals.org/doi/abs/10.1162/106454601753238636?prevSearch=authorsfield%3A(ziegler)},
	number = {3},
	urldate = {2012-06-25},
	journal = {Artificial life},
	author = {Dittrich, P. and Ziegler, J. and Banzhaf, W.},
	year = {2001},
	pages = {225--275},
	file = {Dittrich.2011.ArtificialChemistriesAReview.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Dittrich.2011.ArtificialChemistriesAReview.pdf:application/pdf}
}

@book{dilts_encyclopedia_2000,
	title = {The {Encyclopedia} of {Systemic} {NLP} and {NLP} {New} {Coding}},
	volume = {2},
	isbn = {978-0-9701540-0-2},
	language = {en},
	publisher = {N L P University Press},
	author = {Dilts, Robert B. and Delozier, Judith A.},
	month = jul,
	year = {2000},
	file = {Dilts.DeLozier.2000.EncyclopaediaOfSystemicNLPAndNewCoding(second_tome).pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Dilts.DeLozier.2000.EncyclopaediaOfSystemicNLPAndNewCoding(second_tome).pdf:application/pdf}
}

@book{dilts_encyclopedia_2000-1,
	title = {The {Encyclopedia} of {Systemic} {NLP} and {NLP} {New} {Coding}},
	volume = {1},
	isbn = {978-0-9701540-0-2},
	language = {en},
	publisher = {N L P University Press},
	author = {Dilts, Robert B. and Delozier, Judith A.},
	month = jul,
	year = {2000},
	file = {DiltsDeLozier.2000.EncyclopaediaOfSystemicNLPAndNewCoding(first_tome).pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/DiltsDeLozier.2000.EncyclopaediaOfSystemicNLPAndNewCoding(first_tome).pdf:application/pdf}
}

@book{dettmer_strategic_2003,
	title = {Strategic {Navigation}: {A} {Systems} {Approach} to {Business} {Strategy}},
	isbn = {978-0-87389-603-0},
	shorttitle = {Strategic {Navigation}},
	abstract = {There are many parallels between the business world and the military world: both must always be wary of the competition; both must be able to adapt to rapidly changing conditions; and if either falters the results could be devastating. Yet while military leaders have employed essentially the same strategies for thousands of years, business leaders often feel the need to try the latest fad in an effort to capture lightning in a bottle and lead the company to success. In Strategic Navigation: a Systems Approach to Business Strategy, best-selling author H. William Dettmer explains how sound, proven strategies used by great military leaders from Sun Tzu to Schwarzkopf can also be easily and effectively used in the business world. Dettmer begins the book by introducing the conceptual framework of military strategy and maneuver warfare, which dates back over 2,300 years to the time of Sun Tzues the Art of War. He first explains how the time-tested principles of war planning and military execution can be readily applied to non-military uses, such as commercial business, not-for-profit organizations, and government agencies, leading to considerable benefits in coherence and focus. Dettmer then introduces a logical, systematic tool set to help you translate the military strategy etemplatee into action, which can then be applied to nearly any industry or business type. the system described by Dettmer is quick and easy to use, flexible enough to accommodate changes in the external environment, and supports the creativity of both strategists and executors.},
	language = {en},
	publisher = {ASQ Quality Press},
	author = {Dettmer, H. William},
	month = jan,
	year = {2003},
	file = {Dettmer.2003.StrategicNavigationASystemsApproachtoBusinessStrategy.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Dettmer.2003.StrategicNavigationASystemsApproachtoBusinessStrategy.pdf:application/pdf}
}

@book{dettmer_goldratts_1997,
	title = {Goldratt's {Theory} of {Constraints}: {A} {Systems} {Approach} to {Continuous} {Improvement}},
	isbn = {978-0-87389-370-1},
	shorttitle = {Goldratt's {Theory} of {Constraints}},
	abstract = {Organizations live or die as systems not processes. Their success or failure is a function of how well the different component processes interact with one another. Real quality improvement isn't possible without the knowledge that comes from an understanding of the theory of knowledge, knowledge of variation, an understanding of psychology, and appreciation for systems. Goldratt's Theory of Constraints addresses best-selling author Eli Goldratt's unique approach to dramatically improving corporate performance, found throughout his books, The Goal (North River, 1992) and It's Not Luck (North River, 1994). This book thoroughly explains the theory of constraints, as well as detailing for the reader exactly how to problem solve using TOC.},
	language = {en},
	publisher = {ASQ Quality Press},
	author = {Dettmer, H. William},
	month = jan,
	year = {1997},
	file = {Dettmer.1997.Goldratt'sTheoryOfConstraints\:ASystemsApproachToContinuousImprovement.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Dettmer.1997.Goldratt'sTheoryOfConstraints\:ASystemsApproachToContinuousImprovement.pdf:application/pdf}
}

@inproceedings{desel_what_2001,
	title = {What is a {Petri} net? {Informal} answers for the informed reader},
	shorttitle = {What is a {Petri} net?},
	abstract = {Abstract. The increasing number of Petri net variants naturally leads to the question whether the term “Petri net ” is more than a common name for very different concepts. This contribution tries to identify aspects common to all or at least to most Petri nets. It concentrates on those features where Petri nets significantly differ from other modeling languages, i.e. we ask where the use of Petri nets leads to advantages compared to other languages. Different techniques that are usually comprised under the header “analysis ” are distinguished with respect to the analysis aim. Finally, the role of Petri nets in the development of distributed systems is discussed. 1},
	booktitle = {Unifying {Petri} {Nets}, {LNCS} 2128},
	publisher = {Springer},
	author = {Desel, Jörg and Juhás, Gabriel and Eichstätt, Katholische Universität},
	year = {2001},
	pages = {1--27},
	file = {Desel.2001.WhatIsAPetriNetInformalAnswersForTheInformedReader.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Desel.2001.WhatIsAPetriNetInformalAnswersForTheInformedReader.pdf:application/pdf}
}

@book{rosnay_surfer_2012,
	address = {[Paris]},
	title = {Surfer la vie comment sur-vivre dans la société fluide},
	isbn = {978-2-918597-72-8 2-918597-72-4},
	abstract = {Comment construire et penser le monde de demain ? Dans ce livre audacieux et visionnaire, le célèbre scientifique démontre que notre société est en train de changer de visage. Non plus fondée seulement sur des rapports de force mais sur des rapports de flux, non plus guidée par l'individualisme exacerbé ou par la logique de l'affrontement mais sur la nécessaire solidarité. L'avènement de cette société de la fluidité est inspiré notamment par les sciences qui depuis plusieurs décennies expliquent que les liens ou les interactions sont plus importants que les éléments matériels qui constituent notre monde physique ou biologique. Et ce nouveau regard nous invite à aborder autrement les grands défis actuels : économiques, sociaux, environnementaux. "Je propose une nouvelle approche pour construire ensemble l'avenir et sur-vivre à la complexité du monde et à son accélération. C'est la société fluide. En tant que prospectiviste, mais aussi surfeur de l'océan et d'Internet, j'ai choisi le surf comme fil rouge de ce livre. Ne dit-on pas surfer sur Internet, sur les sondages, sur l'opinion publique, sur les valeurs ? Le surfeur ne crée pas la vague, par nature aléatoire et chaotique, il utilise sa force, sa puissance pour le plaisir, le défi vis-à-vis de lui-même. Surfer la vie, c'est savoir profiter et jouir de l'instant, être à l'écoute de son environnement, de ses réseaux, évaluer en temps réel les résultats de son action et s'adapter à l'imprévu. Je souhaite fournir à chacun des clés pour surfer harmonieusement sa vie." [Source : d'après la 4e de couverture].},
	language = {French},
	publisher = {LLL, les liens qui libèrent},
	author = {Rosnay, Joël de},
	year = {2012},
	file = {deRosnay.2012.SurferLaVie.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/deRosnay.2012.SurferLaVie.pdf:application/pdf}
}

@article{de_pitta_tale_2011,
	title = {A {Tale} of {Two} {Stories}: {Astrocyte} {Regulation} of {Synaptic} {Depression} and {Facilitation}},
	volume = {7},
	shorttitle = {A {Tale} of {Two} {Stories}},
	url = {http://dx.doi.org/10.1371/journal.pcbi.1002293},
	doi = {10.1371/journal.pcbi.1002293},
	abstract = {Author Summary Synaptic plasticity is the capacity of a preexisting connection between two neurons to change in strength as a function of neuronal activity. Because it admittedly underlies learning and memory, the elucidation of its constituting mechanisms is of crucial importance in many aspects of normal and pathological brain function. Short-term presynaptic plasticity refers to changes occurring over short time scales (milliseconds to seconds) that are mediated by frequency-dependent modifications of the amount of neurotransmitter released by presynaptic stimulation. Recent experiments have reported that glial cells, especially hippocampal astrocytes, can modulate short-term plasticity, but the mechanism of such modulation is poorly understood. Here, we explore a plausible form of modulation of short-term plasticity by astrocytes using a biophysically realistic computational model. Our analysis indicates that astrocytes could simultaneously affect synaptic release in two ways. First, they either decrease or increase the overall synaptic release of neurotransmitter. Second, for stimuli that are delivered as pairs within short intervals, they systematically increase or decrease the synaptic response to the second one. Hence, our model suggests that astrocytes could transiently trigger switches between paired-pulse depression and facilitation. This property explains several challenging experimental observations and has a deep impact on our understanding of synaptic information transfer.},
	number = {12},
	urldate = {2013-07-14},
	journal = {PLoS Comput Biol},
	author = {De Pittà, Maurizio and Volman, Vladislav and Berry, Hugues and Ben-Jacob, Eshel},
	month = dec,
	year = {2011},
	pages = {e1002293},
	file = {DEPittaEtAl.ATaleOfTwoStoriesAstrocyteRegulationOfSynapticDepressionAndFacilitation.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/DEPittaEtAl.ATaleOfTwoStoriesAstrocyteRegulationOfSynapticDepressionAndFacilitation.pdf:application/pdf}
}

@book{demetriou_cognitive_2004,
	title = {Cognitive {Developmental} {Change}: {Theories}, {Models} and {Measurement}},
	isbn = {978-1-139-44221-3},
	shorttitle = {Cognitive {Developmental} {Change}},
	abstract = {Cognitive Developmental Change makes a fascinating contribution to the fields of developmental, cognitive and educational science by bringing together a uniquely diverse range of perspectives for analysing the dynamics of change. Connecting traditional Piagetian, information processing, and psychometric approaches with newer frameworks for the analysis of developmental change it provides the reader with an account of the latest theory and research at the time of publication. The contributors to the 2004 volume, all internationally respected experts, were asked when writing to consider three main aspects of cognitive change. Its object (what changes in the mind during development), its nature (how does change occur?) and its causes (why does change occur? Or, what are the internal and external factors responsible for cognitive change?). As a result chapters cover key theories of cognitive change, the factors that affect change including neurological, emotional and socio-cultural factors and methods for measuring and modelling change.},
	language = {en},
	publisher = {Cambridge University Press},
	author = {Demetriou, Andreas and Raftopoulos, Athanassios},
	year = {2004},
	file = {Demetriou.2005.CognitiveDevelopmentalChangeTheories.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Demetriou.2005.CognitiveDevelopmentalChangeTheories.pdf:application/pdf}
}

@inproceedings{davis_connectionism:_1992,
	series = {Cognitive {Science} {Programme}},
	title = {Connectionism: theory and practice},
	isbn = {0-19-507665-6 978-0-19-507665-3 0-19-507666-4 978-0-19-507666-0},
	shorttitle = {Connectionism},
	language = {English},
	publisher = {Oxford University Press},
	editor = {Davis, Steven},
	year = {1992},
	file = {Davis.1992.ConnectionismTheoryAndPractice.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Davis.1992.ConnectionismTheoryAndPractice.pdf:application/pdf}
}

@book{cortadella_petrify:_1996,
	title = {Petrify: {A} {Tool} for {Manipulating} {Concurrent} {Specifications} and {Synthesis} of {Asynchronous} {Controllers}},
	shorttitle = {Petrify},
	abstract = {Petrify is a tool for (1) manipulating concurrent specifications and (2) synthesis and optimization of asynchronous control circuits. Given a Petri Net (PN), a Signal Transition Graph (STG), or a Transition System (TS)  1  it (1) generates another PN or STG which is simpler than the original description and (2) produces an optimized net-list of an asynchronous controller in the target gate library while preserving the specified input-output behavior. An ability of back-annotating to the specification level helps the designer to control the design process. For transforming a specification petrify performs a token flow analysis of the initial PN  and produces a transition system (TS). In the initial TS, all transitions with the same label are considered as one event. The TS is then transformed and transitions relabeled to fulfill the conditions required to obtain a safe irredundant PN.  For synthesis of an asynchronous circuit petrify performs state assignment by solving the Complete Sta...},
	author = {Cortadella, Jordi and Kishinevsky, Michael and Kondratyev, Alex and Lavagno, Luciano and Yakovlev, Alex},
	year = {1996},
	file = {CortadellaEtAll.1997.PetrifyAToolForManipulatingConcurrentSpecificationsAndSynthesisOfAsynchronousControllers.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/CortadellaEtAll.1997.PetrifyAToolForManipulatingConcurrentSpecificationsAndSynthesisOfAsynchronousControllers.pdf:application/pdf}
}

@article{clark_whatever_2012,
	title = {Whatever next? {Predictive} brains, situated agents, and the future of cognitive science},
	shorttitle = {Whatever next?},
	url = {http://bi.snu.ac.kr/Courses/aplc12/3-2.pdf},
	urldate = {2013-06-20},
	journal = {Behav. Brain Sci},
	author = {Clark, Andy},
	year = {2012},
	keywords = {vveitas:cognitive\_development},
	file = {Clark.2013.WhateverNextPredictiveBrainsSituatedAgentsAndTheFutureOfCognitiveScience.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Clark.2013.WhateverNextPredictiveBrainsSituatedAgentsAndTheFutureOfCognitiveScience.pdf:application/pdf}
}

@book{clark_associative_2003,
	title = {Associative {Engines}: {Connectionism}, {Concepts}, and {Representational} {Change} ({Bradford} {Books})},
	isbn = {0-262-51377-3},
	shorttitle = {Associative {Engines}},
	language = {English},
	publisher = {A Bradford Book},
	author = {Clark, Andy},
	month = jan,
	year = {2003},
	file = {Clark.1993.AssociativeEnginesConnectionismConceptsAndRepresentationalChange.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Clark.1993.AssociativeEnginesConnectionismConceptsAndRepresentationalChange.pdf:application/pdf}
}

@article{angeli_petri_2007,
	title = {A {Petri} {Net} {Approach} to {Persistence} {Analysis} in {Chemical} {Reaction} {Networks}},
	doi = {10.1007/978-3-540-71988-5_9},
	author = {Angeli, David and De Leenheer, Patrick},
	year = {2007},
	pages = {181--216},
	file = {Angeli.APetriNetApproachToPersistenceAnalysisInChemicalReactionNetworks.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Angeli.APetriNetApproachToPersistenceAnalysisInChemicalReactionNetworks.pdf:application/pdf}
}

@article{changeux_theory_1973,
	title = {A {Theory} of the {Epigenesis} of {Neuronal} {Networks} by {Selective} {Stabilization} of {Synapses}},
	volume = {70},
	issn = {0027-8424, 1091-6490},
	url = {http://www.pnas.org/content/70/10/2974},
	abstract = {A formalism is introduced to represent the connective organization of an evolving neuronal network and the effects of environment on this organization by stabilization or degeneration of labile synapses associated with functioning. Learning, or the acquisition of an associative property, is related to a characteristic variability of the connective organization: the interaction of the environment with the genetic program is printed as a particular pattern of such organization through neuronal functioning. An application of the theory to the development of the neuromuscular junction is proposed and the basic selective aspect of learning emphasized.},
	language = {en},
	number = {10},
	urldate = {2013-07-14},
	journal = {Proceedings of the National Academy of Sciences},
	author = {Changeux, Jean-Pierre and Courrége, Philippe and Danchin, Antoine},
	month = oct,
	year = {1973},
	pmid = {4517949},
	pages = {2974--2978},
	file = {ChangeauxEtAl.1973.ATheoryOfTheEpigeneticsOfNeuronalNetworksBySelectiveStabilizationOfSynapse.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/ChangeauxEtAl.1973.ATheoryOfTheEpigeneticsOfNeuronalNetworksBySelectiveStabilizationOfSynapse.pdf:application/pdf}
}

@article{chalmers_singularity:_2010,
	title = {The {Singularity}: {A} {Philosophical} {Analysis}},
	volume = {17},
	shorttitle = {The {Singularity}},
	abstract = {What happens when machines become more intelligent than humans? One view is that this event will be followed by an explosion to ever-greater levels of intelligence, as each generation of machines creates more intelligent machines in turn. This intelligence explosion is now often known as the 'singularity'.},
	number = {9-10},
	journal = {Journal of Consciousness Studies},
	author = {Chalmers, David},
	year = {2010},
	keywords = {vveitas:world\_of\_views},
	pages = {7--65},
	file = {Chalmers.2010.TheSingularityAPhilosophicalAnalysis.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Chalmers.2010.TheSingularityAPhilosophicalAnalysis.pdf:application/pdf}
}

@article{campbell_evolutionary_1997,
	title = {From {Evolutionary} {Epistemology} {Via} {Selection} {Theory} to a {Sociology} of {Scientific} {Validity}},
	volume = {3},
	url = {http://www.kli.ac.at/theorylab/Fulltext/campbell/campbell.html},
	abstract = {This paper originated in a set of background readings assembled by Donald T. Campbell (DTC) for a talk at a meeting entitled "The Epistemology Group: The Evolution of Knowledge and Invention". The meeting was organized by John Ziman, and took place on 24 May 1995, at The Royal Society of Arts, London. The editors of Evolution and Cognition encouraged DTC to develop the manuscript for publication, and in his notes on the version completed before his death, DTC described it as "in a halfway state of editing", and as "a personalized retrospective history of ideas". He also wrote that "The main goal of the paper is to provide a naturalistic epistemology for science. It turns out that this will have to also be a sociology of scientific validity. Fragmentary suggestions along this line take up much of the space." DTC pursued this goal first by identifying the type of evolutionary epistemology in which he was engaged as 'general selection theory' (section 1). Rather than focussing on the biological evolutionary origins of categories of perception and thought, exploring detailed analogies between biological evolution and scientific change, or examining the role of innate perceptual mechanisms in language acquisition, general selection theory asserts that variation-and-selective-retention processes operate at a number of hierarchically organized loci or domains in nature, and that all improvements in 'fit' between systems and their environments are attributable to the operation of these selection processes.         Section 2 provides further preliminary clarification. Therein DTC announces that he now believes it counterproductive to describe adaptive organic form, resulting from genetic selection, as 'knowledge'. Instead, the term 'knowledge' should be reserved for the products of vicarious selection processes, such as perception, trial-and-error learning, and scientific enquiry, that "short-cut selection by the life and death of genetic variants".         Sections 3-6 examine the implications of general selection theory for the status of scientific knowledge and justification. Throughout, DTC emphasizes that the realization that science proceeds through selection processes does not provide justification for scientific beliefs or theories, and, in this sense, general selection theory is "epistemologically irrelevant". He underlines this sceptical point in section 3 by noting that religious, as well as scientific, beliefs can be selection-based, and in section 4 by drawing attention to the many selection processes in science that are antagonistic to "competence of reference", i.e. correspondence truth of theories. Primary among these are the processes required to sustain science as a social system, as a "vehicle" or embodiment of knowledge. In sections 5 and 6, DTC continues to "side with the sceptics" by stressing the ubiquity and ineliminability of the problem of induction, and the oversimplification entailed by the use of language.         In the spirit of DTC's hypothetical realism, there is a switch of perspectives between sections 6 and 7. Having insisted in the first half of the text that general selection theory cannot justify scientific beliefs, and therefore that realism about those beliefs is necessarily hypothetical, or a matter or faith, DTC offers in the latter part of the text a selectionist rationale for greater trust in scientific than in religious beliefs (section 7), and argues that public commitment to the norms of science, even if it is hypocritical, functions to increase competence of reference (section 8). Thus, he shows that, if one assumes what cannot be demonstrated (using selection theory or by any other means), that science is (sometimes) successful in describing nature, selection theory can explain how this success could be achieved, and provide the basis for recommendations about how science should be organized to maintain or enhance the (presumed) validity of the beliefs it generates. In other words, those used in the title of the paper: one type of evolutionary epistemology, selection theory, yields a descriptive epistemology for science, and, more specifically, a sociology of scientific validity.},
	number = {1-2},
	urldate = {2013-03-02},
	journal = {Evolution and Cognition},
	author = {Campbell, Donald},
	editor = {Heyes, Cecilia and Frankel, Barbara},
	year = {1997},
	keywords = {vveitas:world\_of\_views},
	file = {Campbell.1997.FromEvolutionaryEpistemologyViaSelectionTheoryToASociologyOfScientficValidity.pdf:/media/data/vveitas/gdrive/vveitas@gmail.com/library/Campbell.1997.FromEvolutionaryEpistemologyViaSelectionTheoryToASociologyOfScientficValidity.pdf:application/pdf}
}

@book{calvin_how_1996,
	address = {New York},
	title = {How brains think: evolving intelligence, then and now},
	isbn = {0-465-07278-X 978-0-465-07278-1},
	shorttitle = {How brains think},
	language = {English},
	publisher = {Basic Books},
	author = {Calvin, William H},
	year = {1996},
	file = {Calvin.1997.HowBrainsThink\:EvolvingIntelligenceThenAndNow.pdf:/media/data/vveitas/gdrive/vve

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repo_name: singnet/offernet

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