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# Awesome Artificial General Intelligence and Computational Cognitive Sciences [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)
An **awesome & curated** list for **Artificial General Intelligence**, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences as majority, alone with probability and mathematical statistics, formal logic, cognitive and developmental psychology, computational philosophy, cognitive neuroscience, and computational sociology. We are promoting high-level machine intelligence by getting inspirations from the way that human learns and thinks, while obtaining a deeper understanding of human cognition simultaneously. We believe that this kind of reciprocative research is a potential way towards our big picture: building intelligent agents with the capacity to handle human-level tasks such as abstracting, explaining, learning, planning, and making decisions.

## Table of Contents

* [Papers](#p)
   * [Abduction](#abd)
   * [Bayesian Modeling & Learning](#bml)
   * [Learning with Cognitive Plausibility](#lcp)
   * [Communications & Pragmatics](#prgmcomm)
   * [Planning & Environment Modeling](#plan)
   * [Neural-Symbolic Learning](#nsl)
   * [Explainable AI](#xai)
   * [Embodied Intelligence & Extended Mind](#eiem)
   * [Human Intelligence Experiments](#hie)
   * [Theory of Mind](#tom)
   * [Analogy](#anl)
   * [Causality](#caus)
   * [Commonsense](#cms)
   * [Inductive Logic & Program Synthesis](#lp)
   * [Knowledge Representation](#kr)
   * [Cognitive Development](#cogdev)
   * [Learning in the Open World](#ow)
   * [Tasks & Environments](#te)

* [Researchers & Labs](#r&l)
   * [MIT](#mit)
   * [Stanford](#stfd)
   * [Princeton](#prct)
   * [UCLA](#ucla)
   * [UC Berkeley](#ucb)
   * [UCSD](#ucsd)
   * [NYU](#nyu)
   * [BIGAI](#bigai)

* [Books](#bk)
   * [Ulf Grenander](#ug)
   * [Michael Tomasello](#mt)
   * [Judea Pearl](#jp)

## Papers

### Abduction

* [Abduction](https://plato.stanford.edu/entries/abduction/index.html), ***Plato Stanford***.

* [Scientific Explanation](https://plato.stanford.edu/entries/scientific-explanation/), ***Plato Stanford***.

* [Non-monotonic Logic](https://plato.stanford.edu/entries/logic-nonmonotonic/), ***Plato Stanford***.

* [Philosophical Writings of Peirce](https://4lib.org/book/702071/e8ffe8), ***Courier Corporation***, 1955. [[All Versions](https://scholar.google.com/scholar?cluster=3917019015464129592&hl=en&as_sdt=0,5)]

* [The Inference to the Best Explanation](https://www.jstor.org/stable/2183532), ***Philosophical Review***, 1965. [[All Versions](https://scholar.google.com/scholar?cluster=1416627814151433560&hl=en&as_sdt=0,5)]

* [Abductive Reasoning and Learning](https://link.springer.com/book/10.1007/978-94-017-1733-5), ***Springer***, 2000. [[All Versions](https://scholar.google.com/scholar?cluster=12074269365138058159&hl=en&as_sdt=0,5)]

* [Abductive Reasoning: Logical Investigations into Discovery and Explanation](https://link.springer.com/book/10.1007%2F1-4020-3907-7#authorsandaffiliationsbook), ***Springer***, 2006. [[All Versions](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Abductive+Reasoning%3A+Logical+Investigations+into+Discovery+and+Explanation&btnG=)]

* [Abductive Cognition: The Epistemological and Eco-Cognitive Dimensions of Hypothetical Reasoning](https://link.springer.com/book/10.1007%2F978-3-642-03631-6), ***Springer***, 2009. [[All Versions](https://scholar.google.com/scholar?cluster=8707351442527595188&hl=en&as_sdt=0,5)]

* [Kinematic mental simulations in abduction and deduction](https://www.pnas.org/content/110/42/16766.short), ***Proceedings of National Academy of Sciences***, 2013. [[All Versions](https://scholar.google.com/scholar?cluster=11864820390497230588&hl=en&as_sdt=0,5)]

* [Interpretation as abduction](https://www.sciencedirect.com/science/article/abs/pii/0004370293900154?via%3Dihub), ***Artificial Intelligence***, 1993. [[All Versions](https://scholar.google.com/scholar?cluster=12658433318211361322&hl=en&as_sdt=0,5)]

* [Patterns of abduction](https://link.springer.com/article/10.1007/s11229-007-9223-4), ***Synthese***, 2007. [[All Versions](https://scholar.google.com/scholar?cluster=15230540023076470385&hl=en&as_sdt=0,5)]

* [Defending Abduction](https://www.journals.uchicago.edu/doi/abs/10.1086/392744), ***Philosophy of Science***, 1999. [[All Versions](https://scholar.google.com/scholar?cluster=13895790050138832555&hl=en&as_sdt=0,5)]

* [Abduction − the context of discovery + underdetermination = inference to the best explanation](https://link.springer.com/article/10.1007/s11229-019-02337-z), ***Synthese***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=4261649938116694095&hl=en&as_sdt=0,5)]

* [Probabilistic Horn abduction and Bayesian networks](https://www.sciencedirect.com/science/article/abs/pii/000437029390061F?via%3Dihub), ***Artificial Intelligence***, 1993. [[All Versions](https://scholar.google.com/scholar?cluster=7728248035489349629&hl=en&as_sdt=0,5)]

* [Towards an Architecture for Cognitive Vision Using Qualitative Spatio-temporal Representations and Abduction](https://link.springer.com/chapter/10.1007%2F3-540-45004-1_14), ***Spatial Cognition***, 2002. [[All Versions](https://scholar.google.com/scholar?cluster=8072265283930278310&hl=en&as_sdt=0,5)]

* [Abductive Inference in Bayesian Networks: A Review](https://link.springer.com/chapter/10.1007/978-3-540-39879-0_6), ***Advances in Bayesian Networks***, 2004. [[All Versions](https://scholar.google.com/scholar?cluster=8502276402734843212&hl=en&as_sdt=0,5)]

* [Bayesian Abductive Logic Programs: A Probabilistic Logic for Abductive Reasoning](https://www.cs.utexas.edu/~ml/papers/raghavan.starai10.pdf), ***IJCAI'11***, 2011. [[All Versions](https://scholar.google.com/scholar?cluster=4453424083730209198&hl=en&as_sdt=0,5)]

* [Abductive Plan Recognition by Extending Bayesian Logic Programs](https://www.cs.utexas.edu/~ml/papers/raghavan.ecml11.pdf), ***ECML'11***, 2011. [[All Versions](https://scholar.google.com/scholar?cluster=7276511797197017483&hl=en&as_sdt=0,5)]

* [An Approach to Abductive Reasoning in Equational Logic](https://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/6624/6619), ***IJCAI'13***, 2013. [[All Versions](https://scholar.google.com/scholar?cluster=686895264429811190&hl=en&as_sdt=0,5)]

* [Abductive inference within a pragmatic framework](https://link.springer.com/article/10.1007/s11229-018-1824-6), ***Synthese***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=10285954503043361393&hl=en&as_sdt=0,5)]

* [Disjunctive Abduction](https://link.springer.com/article/10.1007/s00354-019-00059-x), ***New Generation Computing***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=6664745483675209831&hl=en&as_sdt=0,5)]

* [Abduction-Based Explanations for Machine Learning Models](https://ojs.aaai.org//index.php/AAAI/article/view/3964), ***AAAI'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=7355960657107994022&hl=en&as_sdt=0,5)]

* [Abduction and styles of scientifc thinking](https://link.springer.com/content/pdf/10.1007/s11229-019-02127-7.pdf), ***Synthese***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=9336871656706514469&hl=en&as_sdt=0,5)]

* [Probabilistic alternatives to Bayesianism: the case of explanationism](https://www.frontiersin.org/articles/10.3389/fpsyg.2015.00459/full), ***Frontiers in Psychology***, 2015. [[All Versions](https://scholar.google.com/scholar?cluster=9016714668469830914&hl=en&as_sdt=0,5)]

* [A Probabilistic Theory of Abductive Reasoning](https://www.scitepress.org/Link.aspx?doi=10.5220/0010195405620571), ***ICAART***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=450937566244876051&hl=en&as_sdt=0,5)]

* [Machine Translation Using Abductive Inference](https://www.aclweb.org/anthology/H91-1024.pdf), ***COLING***, 1990. [[All Versions](https://scholar.google.com/scholar?cluster=15275163177548183539&hl=en&as_sdt=0,5)]

* [The order effect in human abductive reasoning: an empirical and computational study](https://www.tandfonline.com/doi/full/10.1080/09528130600558141?scroll=top&needAccess=true), ***Journal of Experimental & Theoretical Artificial Intelligence***, 2006. [[All Versions](https://scholar.google.com/scholar?cluster=3803536062463585043&hl=en&as_sdt=0,5)]

* [Abduction, Induction, and Analogy](https://link.springer.com/chapter/10.1007%2F978-3-642-15223-8_5), ***Model-Based Reasoning in Science and Technology***, 2010. [[All Versions](https://scholar.google.com/scholar?cluster=14979764682921693390&hl=en&as_sdt=0,5)]

* [Probabilistic Sufficient Explanations](https://arxiv.org/pdf/2105.10118.pdf), 2021. [[All Versions](https://scholar.google.com/scholar?cluster=1874102360688341104&hl=en&as_sdt=0,5)]

* [Abduction: Can Non-human Animals Make Discoveries?](https://link.springer.com/article/10.1007/s12304-017-9300-0), ***Biosemiotics***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=9154676333615766448&hl=en&as_sdt=0,5)]

*[Back to Top](#c)

### Bayesian Modeling & Learning

* [Bayesian Epistemology](https://plato.stanford.edu/entries/epistemology-bayesian/), ***Plato Stanford***.

* [Nonparametric Bayesian Data Analysis](https://projecteuclid.org/journals/statistical-science/volume-19/issue-1/Nonparametric-Bayesian-Data-Analysis/10.1214/088342304000000017.full), ***Statistical Science***, 2004. [[All Versions](https://scholar.google.com/scholar?cluster=13476170780072319995&hl=en&as_sdt=0,5)]

* [Theory-based Bayesian models of inductive learning and reasoning](https://www.sciencedirect.com/science/article/pii/S1364661306001343), ***Trends in Cognitive Sciences***, 2006. [[All Versions](https://scholar.google.com/scholar?cluster=6741344960992898446&hl=en&as_sdt=0,5)]

* [How to Grow a Mind: Statistics, Structure, and Abstraction](https://science.sciencemag.org/content/331/6022/1279), ***Science***, 2011. [[All Versions](https://scholar.google.com/scholar?cluster=2667398573353002097&hl=en&as_sdt=0,5)]

* [Human-level concept learning through probabilistic program induction.](https://science.sciencemag.org/content/sci/350/6266/1332.full.pdf), ***Science***, 2015. [[All Versions](https://scholar.google.com/scholar?cluster=11844685101409624506&hl=en&as_sdt=0,5)] [[Supplementary Material](https://cims.nyu.edu/~brenden/LakeEtAl2015Science_supp.pdf)]

* [Building Machines That Learn and Think Like People](https://arxiv.org/abs/1604.00289), ***Behavioral and Brain Sciences***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=8504723689348856287&hl=en&as_sdt=0,5)]

* [Hierarchical topic models and the nested Chinese restaurant process](https://proceedings.neurips.cc/paper/2003/file/7b41bfa5085806dfa24b8c9de0ce567f-Paper.pdf), ***NIPS'03***, 2003. [[All Versions](https://scholar.google.com/scholar?cluster=15040818675282958700&hl=en&as_sdt=0,5)]

* [The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies](https://dl.acm.org/doi/abs/10.1145/1667053.1667056), ***Journal of the ACM***, 2010. [[All Versions](https://scholar.google.com/scholar?cluster=8216933258869737505&hl=en&as_sdt=0,5)]

* [Infinite Latent Feature Models and the Indian Buffet Process](http://mlg.eng.cam.ac.uk/zoubin/papers/ibptr.pdf), ***Gatsby Computational Neuroscience Unit Technical Report 2005-001***, 2005. [[All Versions](https://scholar.google.com/scholar?cluster=13180738480564152907&hl=en&as_sdt=0,5)]

* [The Indian Buffet Process: An Introduction and Review](https://jmlr.org/papers/v12/griffiths11a.html), ***Journal of Machine Learning Research***, 2011. [[All Versions](https://scholar.google.com/scholar?cluster=6301314251995890943&hl=en&as_sdt=0,5)]

*[Back to Top](#c)

### Learning with Cognitive Plausibility

* [Cognitive Science: Definition, Status, and Questions](https://www.annualreviews.org/doi/abs/10.1146/annurev.ps.40.020189.003131) ***Annual Review of Psychology***, 1989. [[All Versions](https://scholar.google.com/scholar?cluster=8549671583307260475&hl=en&as_sdt=0,5)]

* [Recognition-by-Components: A Theory of Human Image Understanding](http://people.csail.mit.edu/torralba/courses/6.870/papers/Biederman_RBC_1987.pdf), ***Psychological Review***, 1987. [[All Versions](https://scholar.google.com/scholar?cluster=16522931798979362446&hl=en&as_sdt=0,5)]

* [Probabilistic machine learning and artificial intelligence](https://www.nature.com/articles/nature14541.pdf), ***Nature***, 2015. [[All Versions](https://scholar.google.com/scholar?cluster=1783282361269717744&hl=en&as_sdt=0,5)]

* [Machine Behaviour](https://www.nature.com/articles/s41586-019-1138-y), ***Nature***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=7881171273277686092&hl=en&as_sdt=0,5)]

* [Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense](https://arxiv.org/pdf/2004.09044.pdf), ***Engineering***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=12292747257300299161&hl=en&as_sdt=0,5)]

* [Self-supervised Learning Through the eyes of a Child](https://cims.nyu.edu/~brenden/papers/OrhanEtAl2020NeurIPS.pdf), ***NIPS'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=5608715260418451299&hl=en&as_sdt=0,5)]

* [CLEVRER: CoLlision Events for Video REpresentation and Reasoning](https://arxiv.org/abs/1910.01442), ***ICLR'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=4352064462350202338&hl=en&as_sdt=0,5)]

* [BONGARD-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning](https://proceedings.neurips.cc/paper/2020/file/bf15e9bbff22c7719020f9df4badc20a-Paper.pdf), ***NIPS'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=9164011458889391917&hl=en&as_sdt=0,5)]

* [Grounded Language Learning Fast and Slow](https://arxiv.org/pdf/2009.01719.pdf), ***ICLR'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=17735027444431750346&hl=en&as_sdt=0,5)] [[Project](https://github.com/deepmind/dm_fast_mapping?s=05)]

* [The relationship between Precision-Recall and ROC curves](https://dl.acm.org/doi/10.1145/1143844.1143874), ***ICML'06***, 2006. [[All Versions](https://scholar.google.com/scholar?cluster=10708180947310062390&hl=en&as_sdt=0,5)]

* [Distributional Generalization: A New Kind of Generalization](http://export.arxiv.org/pdf/2009.08092), 2020. [[All Versions](https://scholar.google.com/scholar?cluster=6190621467796247477&hl=en&as_sdt=0,5)]

* [Learning and development in networks: The importance of starting small.](https://www.sciencedirect.com/science/article/abs/pii/0010027793900584), ***Cognition***, 1993. [[All Versions](https://scholar.google.com/scholar?cluster=5133345254007462915&hl=en&as_sdt=0,5)]

* [Language acquisition in the absence of explicit negative evidence: how important is starting small?](https://www.sciencedirect.com/science/article/pii/S0010027799000311), ***Cognition***, 1999. [[All Versions](https://scholar.google.com/scholar?cluster=11813578367725362166&hl=en&as_sdt=0,5)]

* [Curriculum Learning](https://dl.acm.org/doi/pdf/10.1145/1553374.1553380), ***ICML'09***, 2009. [[All Versions](https://scholar.google.com/scholar?cluster=8740915934335425405&hl=en&as_sdt=0,5)]

* [Parsing video events with goal inference and intent prediction](https://ieeexplore.ieee.org/document/6126279), ***ICCV'11***, 2011. [[All Versions](https://scholar.google.com/scholar?cluster=5979196784405021658&hl=en&as_sdt=0,5)]

* [Inferring "Dark Matter" and "Dark Energy" from Videos](https://ieeexplore.ieee.org/document/6751387), ***ICCV'13***, 2013. [[All Versions](https://scholar.google.com/scholar?cluster=3467068307444498624&hl=en&as_sdt=0,5)]

* [Explainable and Explicit Visual Reasoning over Scene Graphs](https://openaccess.thecvf.com/content_CVPR_2019/papers/Shi_Explainable_and_Explicit_Visual_Reasoning_Over_Scene_Graphs_CVPR_2019_paper.pdf), ***CVPR'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=8517395712319798436&hl=en&as_sdt=0,5)]

* [Distributed Representations of Words and Phrases and their Compositionality](https://papers.nips.cc/paper/2013/file/9aa42b31882ec039965f3c4923ce901b-Paper.pdf), ***NIPS'13***, 2013. [[All Versions](https://scholar.google.com/scholar?cluster=2410615501856807729&hl=en&as_sdt=0,5)]

* [Motion Reasoning for Goal-Based Imitation Learning](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9197172), ***ICRA'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=7519230802512388210&hl=en&as_sdt=0,5)]

* [Action Genome: Actions as Compositions of Spatio-temporal Scene Graphs](https://openaccess.thecvf.com/content_CVPR_2020/papers/Ji_Action_Genome_Actions_As_Compositions_of_Spatio-Temporal_Scene_Graphs_CVPR_2020_paper.pdf), ***CVPR'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=388714326304810525&hl=en&as_sdt=0,5)]

* [Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals](https://proceedings.neurips.cc/paper/2020/file/64dcf3c521a00dbb4d2a10a27a95a9d8-Paper.pdf), ***NIPS'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=2255457416066730255&hl=en&as_sdt=0,5)]

* [Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks](https://openaccess.thecvf.com/content_CVPR_2020/papers/Materzynska_Something-Else_Compositional_Action_Recognition_With_Spatial-Temporal_Interaction_Networks_CVPR_2020_paper.pdf), ***CVPR'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=17469863154797360929&hl=en&as_sdt=0,5)]

* [Putting visual object recognition in context](https://openaccess.thecvf.com/content_CVPR_2020/papers/Zhang_Putting_Visual_Object_Recognition_in_Context_CVPR_2020_paper.pdf), ***CVPR'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=6207193649298787857&hl=en&as_sdt=0,5)]

* [Multimodal Few-Shot Learning with Frozen Language Models](https://arxiv.org/abs/2106.13884), 2021. [[All Versions](https://scholar.google.com/scholar?cluster=16154696122208258147&hl=en&as_sdt=0,5)]

* [Learning Systems of Concepts with an Infinite Relational Model](https://www.aaai.org/Papers/AAAI/2006/AAAI06-061.pdf), ***AAAI'06***, 2006. [[All Versions](https://scholar.google.com/scholar?cluster=3207350432755252565&hl=en&as_sdt=0,5)]

* [Describing Objects by their Attributes](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5206772), ***CVPR'09***, 2009. [[All Versions](https://scholar.google.com/scholar?cluster=6853730684095116174&hl=en&as_sdt=0,5)]

* [Simulation as an engine of physical scene understanding](https://www.pnas.org/content/pnas/110/45/18327.full.pdf), ***Proceedings of National Academy of Sciences***, 2013. [[All Versions](https://scholar.google.com/scholar?cluster=5892822406285231676&hl=en&as_sdt=0,5)] [[Appendix](https://www.pnas.org/content/pnas/suppl/2013/10/18/1306572110.DCSupplemental/pnas.201306572SI.pdf?targetid=nameddest%3DSTXT)]

* [Rapid trail-and-error learning with simulation supports flexible tool use and physical reasoning.](https://www.pnas.org/content/pnas/117/47/29302.full.pdf), ***Proceedings of National Academy of Sciences***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=14400178089019636923&hl=en&as_sdt=0,5)] [[Project](https://sites.google.com/view/virtualtoolsgame/home)] [[Appendix](https://www.pnas.org/content/pnas/suppl/2020/11/20/1912341117.DCSupplemental/pnas.1912341117.sapp.pdf)]

* [Probabilistic Programming Bots in Intuitive Physics Game Play](https://ojs.aaai.org/index.php/AAAI/article/view/16159), ***AAAI'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=8743909447419452852&hl=en&as_sdt=0,5)]

* [Physion: Evaluating Physical Prediction from Vision in Humans and Machines](https://openreview.net/forum?id=CXyZrKPz4CU), 2021. [[All Versions](https://scholar.google.com/scholar?cluster=8733318111076645893&hl=en&as_sdt=0,5)]

* [Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation](https://ieeexplore.ieee.org/abstract/document/9387127), ***Robotics and Automation Letters***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=3140653562829320759&hl=en&as_sdt=0,5)]

* [Exploration: from machines to humans](https://www.sciencedirect.com/science/article/pii/S2352154620301236), ***Current Opinion in Behavioral Sciences***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=8015078432419172621&hl=en&as_sdt=0,5)]

* [Hippocampal neurons construct a map of an abstract value space](https://www.sciencedirect.com/science/article/pii/S0092867421008369), ***Cell***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=12658820581876003172&hl=en&as_sdt=0,5)]

*[Back to Top](#c)

### Communications & Pragmatics

* [Pragmatics](https://plato.stanford.edu/entries/pragmatics/), ***Plato Stanford***.

* [Compositionality](https://plato.stanford.edu/entries/compositionality/), ***Plato Stanford***.

* [Word learning as Bayesian inference](https://psycnet.apa.org/doiLanding?doi=10.1037%2F0033-295X.114.2.245), ***Psychological Review***, 2007. [[All Versions](https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=5476233692839102256)]

* [The Principle of Semantic Compositionality](https://link.springer.com/content/pdf/10.1007/BF00763644.pdf), ***Topoi***, 1994. [[All Versions](https://scholar.google.com/scholar?cluster=10899040818001759322&hl=en&as_sdt=0,5)]

* [On The Emergence Of Compositionality](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=<IP_ADDRESS>.3235), ***Proceedings of the Evolution of Language Conference'06***, 2006. [[All Versions](https://scholar.google.com/scholar?cluster=16315741180717951222&hl=en&as_sdt=0,5)]

* [Predicting Pragmatic Reasoning in Language Games](https://science.sciencemag.org/content/336/6084/998), ***Science***, 2012. [[All Versions](https://scholar.google.com/scholar?cluster=15533081031935746054&hl=en&as_sdt=0,5)]

* [The Interactive Evolution of Human Communication Systems](https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1551-6709.2009.01090.x), ***Cognitive Science***, 2010. [[All Versions](https://scholar.google.com/scholar?cluster=6689941517686043970&hl=en&as_sdt=0,5)]

* [Iconicity: From sign to system in human communication and language](https://benjamins.com/catalog/pc.22.2.05fay), ***Pragmatics & Cognition***, 2014. [[All Versions](https://scholar.google.com/scholar?cluster=8525760321117094567&hl=en&as_sdt=0,5)]

* [The Picture Exchange Communication System](https://journals.sagepub.com/doi/abs/10.1177/108835769400900301), ***Behavior Modification***, 1994. [[All Versions](https://scholar.google.com/scholar?cluster=18113491434570143349&hl=en&as_sdt=0,5)]

* [Graphical Language Games: Interactional Constraints on Representational Form](https://onlinelibrary.wiley.com/doi/full/10.1080/15326900701221363), ***Cognitive Science***, 2007. [[All Versions](https://scholar.google.com/scholar?cluster=280214578402050136&hl=en&as_sdt=0,5)]

* [A multimodal discourse theory of visual narrative](https://www.sciencedirect.com/science/article/pii/S0378216614001830), ***Journal of Pragmatics***, 2014. [[All Versions](https://scholar.google.com/scholar?cluster=912273653379961242&hl=en&as_sdt=0,5)]

* [Multi-Agent Cooperation and the Emergence of (Natural) Language](https://arxiv.org/pdf/1612.07182.pdf), ***ICLR'17***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=1931070702879918446&hl=en&as_sdt=0,5)]

* [Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols](https://proceedings.neurips.cc/paper/2017/hash/70222949cc0db89ab32c9969754d4758-Abstract.html), ***NIPS'18***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=17308624474306270808&hl=en&as_sdt=0,5)]

* [Emergent communication through negotiation](https://arxiv.org/abs/1804.03980), ***ICLR'18***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=8825869866742501521&hl=en&as_sdt=0,5)]

* [Disentangling contributions of visual information and interaction history in the formation of graphical conventions](https://cogsci.mindmodeling.org/2019/papers/0091/0091.pdf), ***CogSci'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=15046353579508199394&hl=en&as_sdt=0,5)]

* [The language of generalization](https://psycnet.apa.org/record/2019-07481-001), ***Psychological Review***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=7723877614160376324&hl=en&as_sdt=0,5)]

* [Compositionality and Generalization in Emergent Languages](https://arxiv.org/abs/2004.09124), ***ACL'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=5792073344743965767&hl=en&as_sdt=0,5)]

* [How young children integrate information sources to infer the meaning of words](https://www.nature.com/articles/s41562-021-01145-1), ***Nature***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=10144794357802769844&hl=en&as_sdt=0,5)]

* [Information Structure in Discourse: Towards an Integrated Formal Theory of Pragmatics](https://semprag.org/index.php/sp/article/view/sp.5.6/pdf), ***Semantics and Pragmatics***, 1998. [[All Versions](https://scholar.google.com/scholar?cluster=9127222314768938599&hl=en&as_sdt=0,5)]

* [Pixelor: A Competitive Sketching AI Agent. So you think you can beat me?](https://ayankumarbhunia.github.io/pixelor/image/pixelor.pdf), ***SIG Graph***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=6676723059377806081&hl=en&as_sdt=0,5)] [[Project](http://sketchx.ai/pixelor)]

* [Pragmatic Inference and Visual Abstraction Enable Contextual Flexibility During Visual Communication](https://link.springer.com/article/10.1007/s42113-019-00058-7), ***Computational Brain & Behavior***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=17971107104483505071&hl=en&as_sdt=0,5)]

* [Communicating artificial neural networks develop efficient color-naming systems](https://www.pnas.org/content/118/12/e2016569118), ***Proceedings of National Academy of Sciences***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=1640459156303560508&hl=en&as_sdt=0,5)]

* [When Lingens meets Frege: communication without common ground](https://link.springer.com/article/10.1007/s11098-020-01490-3), ***Philosophical Studies***, 2021.

*[Back to Top](#c)

### Planning & Environment Modeling

* [Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning](https://www.sciencedirect.com/science/article/pii/S0004370299000521), ***Artificial Intelligence***, 1999. [[All Versions](https://scholar.google.com/scholar?cluster=1471968208408231068&hl=en&as_sdt=0,5)]

* [From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning](https://jair.org/index.php/jair/article/view/11175), ***Journal of Artificial Intelligence Research***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=17962480659445514879&hl=en&as_sdt=0,5)]

* [Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning](https://dspace.mit.edu/handle/1721.1/126626), ***Robotics: Science and Systems***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=10342169019935480143&hl=en&as_sdt=0,5)]

* [Integrated Task and Motion Planning](https://www.annualreviews.org/doi/abs/10.1146/annurev-control-091420-084139), ***Annual Review of Control, Robotics, and Autonomous Systems***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=478421650694199529&hl=en&as_sdt=0,5)]

* [Solving Compositional Reinforcement Learning Problems via Task Reduction](https://openreview.net/forum?id=9SS69KwomAM), ***ICLR'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=15628616147808752058&hl=en&as_sdt=0,5)]

* [Apprenticeship Learning via Inverse Reinforcement Learning](https://dl.acm.org/doi/pdf/10.1145/1015330.1015430), ***ICML'04***, 2004. [[All Versions](https://scholar.google.com/scholar?cluster=10260011060619377707&hl=en&as_sdt=0,5)]

* [From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following](https://arxiv.org/abs/1902.07742), ***ICLR'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=9128320307925997063&hl=en&as_sdt=0,5)]

* [Neural Task Programming: Learning to Generalize Across Hierarchical Tasks](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8460689), ***ICRA'18***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=7155333517647976638&hl=en&as_sdt=0,5)]

* [Few-shot Bayesian imitation learning with logical program policies.](https://arxiv.org/pdf/1904.06317.pdf), ***AAAI'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=5103854692762145813&hl=en&as_sdt=0,5)]

* [Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning](https://arxiv.org/abs/2010.03110), ***ICML'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=4880520597219138666&hl=en&as_sdt=0,5)]

* [Learning to act: qualitative learning of deterministic action models](https://academic.oup.com/logcom/article-abstract/28/2/337/4695480), ***Journal of Logic and Computation***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=14570482854600886953&hl=en&as_sdt=0,5)]

* [Learning to Act and Observe in Partially Observable Domains](https://arxiv.org/abs/2109.06076), 2021. [[All Versions](https://scholar.google.com/scholar?cluster=2258600434630687063&hl=en&as_sdt=0,5)]

* [Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability](https://arxiv.org/abs/2107.06277), 2021. [[All Versions](https://scholar.google.com/scholar?cluster=9640851185758072663&hl=en&as_sdt=0,5)]

*[Back to Top](#c)

### Neural-Symbolic Learning

* [Learning Explanatory Rules from Noisy Data](https://www.jair.org/index.php/jair/article/view/11172), ***Journal of Artificial Intelligence Research***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=2553893814364678772&hl=en&as_sdt=0,5)]

* [DeepProbLog: Neural Probabilistic Logic Programming](https://arxiv.org/abs/1805.10872), ***NIPS'18***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=6079567413300944995&hl=en&as_sdt=0,5)]

* [Learning by Abstraction: The Neural State Machine](https://proceedings.neurips.cc/paper/2019/file/c20a7ce2a627ba838cfbff082db35197-Paper.pdf), ***NIPS'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=7361406080192630148&hl=en&as_sdt=0,5)]

* [Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge.](https://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/aaai17lasin.pdf), ***AAAI'17***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=14477085725208589393&hl=en&as_sdt=0,5)]

* [Neural Logic Reinforcement Learning](https://arxiv.org/pdf/1904.10729.pdf), ***ICML'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=18074632043038701502&hl=en&as_sdt=0,5)]

* [Bridging Machine Learning and Logical Reasoning by Abductive Learning.](http://papers.nips.cc/paper/8548-bridging-machine-learning-and-logical-reasoning-by-abductive-learning) ***NIPS'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=1518342375288126288&hl=en&as_sdt=0,5)] [[slides](https://daiwz.net/org/slides/ABL-meetup.html#/slide-title)] [[code](https://github.com/AbductiveLearning/ABL-HED)]

* [Abductive learning: towards bridging machine learning and logical reasoning](https://link.springer.com/article/10.1007/s11432-018-9801-4) ***Science China Information Sciences***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=8541635351775190855&hl=en&as_sdt=0,5)]

* [Abductive Knowledge Induction From Raw Data](https://arxiv.org/pdf/2010.03514.pdf), ***IJCAI'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=7027142960863064076&hl=en&as_sdt=0,5)]

* [Making sense of sensory input](https://www.sciencedirect.com/science/article/pii/S0004370220301855), ***Artificial Intelligence***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=11875529139573472578&hl=en&as_sdt=0,5)]

* [Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution](https://arxiv.org/pdf/2103.14230v1.pdf), ***CVPR'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=4172146500538799638&hl=en&as_sdt=0,5)]

* [Learn to explain efﬁciently via neural logic inductive learning](https://openreview.net/pdf?id=SJlh8CEYDB), ***ICLR'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=4550874980727321525&hl=en&as_sdt=0,5)] [[Project](https://github.com/gblackout/NLIL)]

* [Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning](https://arxiv.org/abs/2006.06649), ***ICML'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=9257372000778020812&hl=en&as_sdt=0,5)]

* [Generating new concepts with hybrid neuro-symbolic models.](https://arxiv.org/abs/2003.08978), ***CogSci'20***, 2020. [[All Versions](https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=1912020791698331044)]

* [Learning Task-General Representations with Generative Neuro-Symbolic Modeling](https://arxiv.org/abs/2006.14448), ***ICLR'21***, 2021. [[All Versions](https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=1335404082385789329)]

* [AI Feynman: A physics-inspired method for symbolic regression](https://advances.sciencemag.org/content/6/16/eaay2631/tab-pdf), ***Science***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=3655502646441210453&hl=en&as_sdt=0,5)]

* [Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components](http://papers.nips.cc/paper/8546-classification-by-components-probabilistic-modeling-of-reasoning-over-a-set-of-components.pdf), ***NIPS'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=12691103404451941071&hl=en&as_sdt=0,5)]

* [Neuro-Symbolic Visual Reasoning: Disentangling “Visual” from “Reasoning”](https://arxiv.org/pdf/2006.11524.pdf), ***ICML'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=13160160974887139307&hl=en&as_sdt=0,5)]

* [Understanding Deep Architectures with Reasoning Layer](https://proceedings.neurips.cc/paper/2020/file/0d82627e10660af39ea7eb69c3568955-Paper.pdf), ***NIPS'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=937882599430270789&hl=en&as_sdt=0,5)]

* [An Explicitly Relational Neural Network Architecture](https://arxiv.org/pdf/1905.10307.pdf), ***ICML'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=37732747764322837&hl=en&as_sdt=0,5)]

* [Neural Production Systems](https://arxiv.org/pdf/2103.01937.pdf), ***ICML'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=15299280949648915581&hl=en&as_sdt=0,5)]

* [Compositional Generalization via Neural-Symbolic Stack Machines](https://arxiv.org/pdf/2008.06662.pdf), ***NIPS'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=15612498612943317331&hl=en&as_sdt=0,5)]

* [Stochastic Optimization of Sorting Networks via Continuous Relaxations](https://openreview.net/pdf?id=H1eSS3CcKX), ***ICLR'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=10619362619006891050&hl=en&as_sdt=0,5)]

* [Program Guided Agent](https://openreview.net/pdf?id=BkxUvnEYDH), ***ICLR'20***, 2020. [[All Versions](https://openreview.net/forum?id=BkxUvnEYDH)]

* [Learning Compositional Rules via Neural Program Synthesis](https://proceedings.neurips.cc/paper/2020/hash/7a685d9edd95508471a9d3d6fcace432-Abstract.html), ***NIPS'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=3160670555314650508&hl=en&as_sdt=0,5)]

* [Discovering Symbolic Models from Deep Learning with Inductive Biases](https://arxiv.org/abs/2006.11287), ***NIPS'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=9452091824686227240&hl=en&as_sdt=0,5)]

* [Neural Logic Machines](https://arxiv.org/pdf/1904.11694.pdf), ***ICLR'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=4525183211642569463&hl=en&as_sdt=0,5)]

* [The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision](https://arxiv.org/pdf/1904.12584.pdf), ***ICLR'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=8837128214653317831&hl=en&as_sdt=0,5)]

* [Visual Concept-Metaconcept Learning](https://papers.nips.cc/paper/2019/file/98d8a23fd60826a2a474c5b4f5811707-Paper.pdf), ***NIPS'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=1888051343232298875&hl=en&as_sdt=0,5)]

* [Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning](https://arxiv.org/abs/2103.16564), ***ICLR'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=16735976343684307244&hl=en&as_sdt=0,5)]

* [Temporal and Object Quantification Networks](https://jiajunwu.com/papers/toqnet_ijcai.pdf), ***IJCAI'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=17251222943638414124&hl=en&as_sdt=0,5)]

*[Back to Top](#c)

### Explainable AI

* [Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP](https://link.springer.com/article/10.1007/s10994-018-5707-3), ***Machine Learning***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=17551060457946144913&hl=en&as_sdt=0,5)]

* [Beneficial and harmful explanatory machine learning](https://link.springer.com/article/10.1007%2Fs10994-020-05941-0), ***Machine Learning***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=16983722694047294963&hl=en&as_sdt=0,5)]

* [Network dissection: Quantifying interpretability of deep visual representations](https://ieeexplore.ieee.org/document/8099837), ***CVPR'17***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=18069685615852396783&hl=en&as_sdt=0,5)] [[Dataset: Places365](http://places2.csail.mit.edu/index.html)]

* [Understanding the role of Individual Units in a Deep Neural Network](https://www.pnas.org/content/pnas/early/2020/08/31/1907375117.full.pdf), ***Proceedings of National Academy of Sciences***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=11996680970579301810&hl=en&as_sdt=0,5)]

* [Zoom In: An Introduction to Circuits](https://distill.pub/2020/circuits/zoom-in/), ***Distill***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=9053581372570691569&hl=en&as_sdt=0,5)]

* [Compositional Explanations of Neurons](https://proceedings.neurips.cc/paper/2020/file/c74956ffb38ba48ed6ce977af6727275-Paper.pdf), ***NIPS'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=15725346730266402738&hl=en&as_sdt=0,5)] [[Project](https://github.com/jayelm/compexp)]

* [This Looks Like That: Deep Learning for Interpretable Image Recognition](http://papers.nips.cc/paper/9095-this-looks-like-that-deep-learning-for-interpretable-image-recognition.pdf), ***NIPS'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=9461838581952136719&hl=en&as_sdt=0,5)]

* [Unsupervised learning by competing hidden units](https://www.pnas.org/content/pnas/116/16/7723.full.pdf), ***Proceedings of National Academy of Sciences***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=1228003598355915526&hl=en&as_sdt=0,5)]

* [NBDT: Neural-Backed Decision Trees](https://arxiv.org/abs/2004.00221), ***NIPS'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=1902399007162005819&hl=en&as_sdt=0,5)] [[code](https://github.com/alvinwan/neural-backed-decision-trees)]

* [Noise or Signal: The Role of Backgrounds in Image Classification](https://arxiv.org/pdf/2006.09994.pdf), ***ICLR'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=14729938011425134088&hl=en&as_sdt=0,5)] [[Project](https://gradientscience.org/background/)]

* [Deep Forest: Towards An Alternative to Deep Neural Networks](https://www.ijcai.org/Proceedings/2017/497), ***IJCAI'17***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=7391596872731517007&hl=en&as_sdt=0,5)] [[Project](https://github.com/LAMDA-NJU/Deep-Forest)]

* [X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust](https://arxiv.org/pdf/1909.06907.pdf), 2019. [[All Versions](https://scholar.google.com/scholar?cluster=7751326666821697923&hl=en&as_sdt=0,5)]

* [CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines](https://ojs.aaai.org/index.php/AAAI/article/view/5643), ***AAAI'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=17443137068166403183&hl=en&as_sdt=0,5)]

*[Back to Top](#c)

### Embodied Intelligence & Extended Mind

* [Embodied Cognition](https://plato.stanford.edu/entries/embodied-cognition/), ***Plato Stanford***.

* [Externalism About the Mind](https://plato.stanford.edu/entries/content-externalism/), ***Plato Stanford***.

* [Tools, language and cognition in human evolution](https://psycnet.apa.org/record/1993-97340-000), ***Cambridge University Press***, 1993. [[All Versions](https://scholar.google.com/scholar?cluster=6046350461147957220&hl=en&as_sdt=0,5)]

* [The Extended Mind](https://icds.uoregon.edu/wp-content/uploads/2014/06/Clark-and-Chalmers-The-Extended-Mind.pdf), ***Analysis***, 1998. [[All Versions](https://scholar.google.com/scholar?cluster=9546561188261943866&hl=en&as_sdt=0,5)]

* [The neural bases of complex tool use in humans](https://www.sciencedirect.com/science/article/pii/S1364661303003231), ***Trends in Cognitive Sciences***, 2004. [[All Versions](https://scholar.google.com/scholar?cluster=3612212926196611828&hl=en&as_sdt=0,5)]

* [Rapid Assimilation of External Objects Into the Body Schema](https://journals.sagepub.com/doi/abs/10.1177/0956797610371962), ***Psychological Science***, 2010. [[All Versions](https://scholar.google.com/scholar?cluster=854636910326733489&hl=en&as_sdt=0,5)]

* [The cognitive bases of human tool use](https://www.eva.mpg.de/documents/Cambridge/Tennie_Cultural_BehBrainSci_2012_1566208.pdf), ***Behavioral and Brain Sciences***, 2012. [[All Versions](https://scholar.google.com/scholar?cluster=4648150119820414671&hl=en&as_sdt=0,5)]

* [The embodied mind extended: using words as social tools](https://www.frontiersin.org/articles/10.3389/fpsyg.2013.00214/full), ***Frontiers in Psychology***, 2013. [[All Versions](https://scholar.google.com/scholar?cluster=14719988081062606352&hl=en&as_sdt=0,5)]

* [Tool use as adaptation](https://royalsocietypublishing.org/doi/10.1098/rstb.2012.0408), ***Philosophical Transactions of the Royal Society B: Biological Sciences***, 2013. [[All Versions](https://scholar.google.com/scholar?cluster=8060841461200774807&hl=en&as_sdt=0,5)]

* [Intensive tool-practice and skillfulness facilitate the extension of body representations in humans](https://www.sciencedirect.com/science/article/pii/S0028393214000232), ***Neuropsychologia***, 2014. [[All Versions](https://scholar.google.com/scholar?cluster=10578024091098127929&hl=en&as_sdt=0,5)]

* [Tool use and affordance: Manipulation-based versus reasoning-based approaches](https://psycnet.apa.org/doiLanding?doi=10.1037%2Frev0000027), ***Psychological Review***, 2016. [[All Versions](https://scholar.google.com/scholar?cluster=3284942486402374505&hl=en&as_sdt=0,5)]

* [Understanding Tools: Task-Oriented Object Modeling, Learning and Recognition](https://yzhu.io/publication/tool2015cvpr/paper.pdf), ***CVPR'15***, 2015. [[All Versions](https://scholar.google.com/scholar?cluster=4609926671953500969&hl=en&as_sdt=0,5)] [[Project](https://yzhu.io/publication/tool2015cvpr/)]

* [Robotic hand augmentation drives changes in neural body representation](https://robotics.sciencemag.org/content/6/54/eabd7935.abstract), ***Science Robotics***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=1622125726197763917&hl=en&as_sdt=0,5)]

* [Expert Tool Users Show Increased Differentiation between Visual Representations of Hands and Tools](https://www.jneurosci.org/content/jneuro/41/13/2980.full.pdf), ***Journal of Neuroscience***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=13454164767827515188&hl=en&as_sdt=0,5)]

* [Visual scoping operations for physical assembly](https://arxiv.org/pdf/2106.05654.pdf), ***CogSci'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=7238090583833839&hl=en&as_sdt=0,5)]

* [Behavior-grounded representation of tool affordances](https://www.cc.gatech.edu/ai/robot-lab/online-publications/StoytchevICRA2005.pdf), ***ICRA'05***, 2005. [[All Versions](https://scholar.google.com/scholar?cluster=6115815663915603675&hl=en&as_sdt=0,5)]

* [A Relational Approach to Tool-Use Learning in Robots](https://link.springer.com/chapter/10.1007/978-3-642-38812-5_1), ***ILP'12***, 2012. [[All Versions](https://scholar.google.com/scholar?cluster=18374178227592386332&hl=en&as_sdt=0,5)]

* [Relational affordances for multiple-object manipulation](https://link.springer.com/article/10.1007/s10514-017-9637-x), ***Autonomous Robots***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=6357646940615855682&hl=en&as_sdt=0,5)]

* [Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight](http://m.roboticsproceedings.org/rss15/p01.pdf), ***RSS'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=4316276917607326251&hl=en&as_sdt=0,5)]

*[Back to Top](#c)

### Human Intelligence Experiments

* [Human Problem Solving](https://scholar.google.com/scholar?cluster=3996229083126262536&hl=en&as_sdt=0,5), ***Englewood Cliffs, NJ: Prentice-hall***, 1972. [[All Versions](https://scholar.google.com/scholar?cluster=3996229083126262536&hl=en&as_sdt=0,5)]

* [Experiments with More Than One Random Factor: Designs, Analytic Models, and Statistical Power](https://www.annualreviews.org/doi/abs/10.1146/annurev-psych-122414-033702) ***Annual Review of Psychology***, 2017.

* [Evidence integration in model-based tree search](https://www.pnas.org/content/112/37/11708.short), ***Proceedings of National Academy of Sciences***, 2015. [[All Versions](https://scholar.google.com/scholar?cluster=11085043350027609187&hl=en&as_sdt=0,5)]

* [Searching large hypothesis spaces by asking questions](https://cogsci.mindmodeling.org/2016/papers/0122/paper0122.pdf), ***CogSci'16***, 2016. [[All Versions](https://scholar.google.com/scholar?cluster=3398849603439166012&hl=en&as_sdt=0,5)]

* [Asking and evaluating natural language questions](https://gureckislab.org/papers/RotheLakeGureckis-2016cogsci.pdf), ***CogSci'16***, 2016. [[All Versions](https://scholar.google.com/scholar?cluster=34641833161282231&hl=en&as_sdt=0,5)]

* [Do People Ask Good Questions?](https://link.springer.com/article/10.1007/s42113-018-0005-5), ***Computational Brain & Behavior***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=14595996621617337270&hl=en&as_sdt=0,5)]

* [Asking goal-oriented questions and learning from answers](http://nyuccl.org/papers/Rothe-Lake-Gureckis-2019-Cogsci.pdf), ***CogSci'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=14185546187726917682&hl=en&as_sdt=0,5)]

* [People Infer Recursive Visual Concepts from Just a Few Examples](https://link.springer.com/content/pdf/10.1007/s42113-019-00053-y.pdf), ***Computational Brain & Behavior***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=3871396883970734141&hl=en&as_sdt=0,5)]

* [One-shot learning of generative speech concepts](https://escholarship.org/content/qt3xf2n3vc/qt3xf2n3vc.pdf), ***CogSci'14***, 2014. [[All Versions](https://scholar.google.com/scholar?cluster=15482292457660075957&hl=en&as_sdt=0,5)]

* [Human few-shot learning of compositional instructions](https://arxiv.org/abs/1901.04587), ***CogSci'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=12841163907815018136&hl=en&as_sdt=0,5)]

* [Fast and flexible: Human program induction in abstract reasoning tasks](https://arxiv.org/pdf/2103.05823.pdf), ***CogSci'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=5294483826040237516&hl=en&as_sdt=0,5)]

* [Investigating Human Priors for Playing Video Games](http://proceedings.mlr.press/v80/dubey18a.html), ***ICML'18***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=2202192690517876762&hl=en&as_sdt=0,5)]

* [Tasks for aligning human and machine planning](https://www.sciencedirect.com/science/article/pii/S2352154619300622), ***Current Opinion in Behavioral Sciences***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=8308872468787875598&hl=en&as_sdt=0,5)]

*[Back to Top](#c)

### Theory of Mind

* [Theory of Mind](https://en.wikipedia.org/wiki/Theory_of_mind), ***Wikipedia***.

* [Cognitive Science](https://plato.stanford.edu/entries/cognitive-science/), ***Plato Stanford***.

* [Intentionality](https://plato.stanford.edu/entries/intentionality/), ***Plato Stanford***.

* [Epistemology](https://plato.stanford.edu/entries/epistemology/), ***Plato Stanford***.

* [The Mind/Brain Identity Theory](https://plato.stanford.edu/entries/mind-identity/), ***Plato Stanford***.

* [Mental Representation](https://plato.stanford.edu/entries/mental-representation/), ***Plato Stanford***.

* [Mental Imagery](https://plato.stanford.edu/entries/mental-imagery/), ***Plato Stanford***.

* [Metaphor](https://plato.stanford.edu/entries/metaphor/), ***Plato Stanford***.

* [Temporal Consciousness](https://plato.stanford.edu/entries/consciousness-temporal/), ***Plato Stanford***.

* [The Experience and Perception of Time](https://plato.stanford.edu/entries/time-experience/), ***Plato Stanford***.

* [Bounded Rationality](https://plato.stanford.edu/entries/bounded-rationality/), ***Plato Stanford***.

* [Instrumental Rationality](https://plato.stanford.edu/entries/rationality-instrumental/), ***Plato Stanford***.

* [Practical Reason](https://plato.stanford.edu/entries/practical-reason/), ***Plato Stanford***.

* [Memory](https://plato.stanford.edu/entries/memory/), ***Plato Stanford***.

* [The Computational Theory of Mind](https://plato.stanford.edu/entries/computational-mind/), ***Plato Stanford***.

* [Action Understanding as Inverse Planning](https://www.sciencedirect.com/science/article/pii/S0010027709001607), ***Cognition***, 2009. [[All Versions](https://scholar.google.com/scholar?cluster=11478704181983566675&hl=en&as_sdt=0,5)] [[Appendix](https://ars.els-cdn.com/content/image/1-s2.0-S0010027709001607-mmc1.pdf)]

* [Bayesian Theory of Mind: Modeling Joint Belief-Desire Attribution](http://web.mit.edu/9.s915/www/classes/theoryOfMind.pdf), ***CogSci'11***, 2011. [[All Versions](https://scholar.google.com/scholar?cluster=7454981153033683025&hl=en&as_sdt=0,5)]

* [Bayesian Theory of Mind : modeling human reasoning about beliefs, desires, goals, and social relations](https://dspace.mit.edu/handle/1721.1/73768), ***Ph.D. Dissertation MIT***, 2012. [[All Versions](https://scholar.google.com/scholar?cluster=16053170661075048224&hl=en&as_sdt=0,5)]

* [Bayesian Brains without Probabilities](https://www.sciencedirect.com/science/article/pii/S1364661316301565?via%3Dihub), ***Trends in Cognitive Sciences***, 2016. [[All Versions](https://scholar.google.com/scholar?cluster=13076510377612067772&hl=en&as_sdt=0,5)]

* [Rational quantitative attribution of beliefs, desires and percepts in human mentalizing](https://www.nature.com/articles/s41562-017-0064), ***Nature Human Behavior***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=9377509910551057835&hl=en&as_sdt=0,5)]

* [The Bayesian Brain: An Introduction to Predictive Processing](https://www.mindcoolness.com/blog/bayesian-brain-predictive-processing/), 2018.

* [Machine theory of mind](http://proceedings.mlr.press/v80/rabinowitz18a/rabinowitz18a.pdf), ***ICML'18***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=6267278380616425333&hl=en&as_sdt=0,5)]

* [Theory of mind as inverse reinforcement learning](https://www.sciencedirect.com/science/article/pii/S2352154618302055?via%3Dihub), ***Current Opinion in Behavioral Sciences***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=14959443239271810913&hl=en&as_sdt=0,5)]

* [Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap](https://onlinelibrary.wiley.com/doi/full/10.1111/tops.12371), ***Topics in Cognitive Science***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=15919410726494658168&hl=en&as_sdt=0,5)]

* [Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation](http://export.arxiv.org/pdf/2011.09854), 2020. [[All Versions](https://scholar.google.com/scholar?cluster=18369106870663956780&hl=en&as_sdt=0,5)]

* [The Naïve Utility Calculus as a unified, quantitative framework for action understanding](https://www.sciencedirect.com/science/article/pii/S0010028520300633) ***Cognitive Psychology***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=10366690800692546587&hl=en&as_sdt=0,5)] [[Project](http://www.github.com/julianje/bishop)]

* [AGENT: A Benchmark for Core Psychological Reasoning](https://arxiv.org/pdf/2102.12321.pdf), ***ICML'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=9729067071974484204&hl=en&as_sdt=0,5)]

* [Experimental Games and Social Decision Making](https://www.annualreviews.org/doi/pdf/10.1146/annurev-psych-081420-110718), ***Annual Review of Psychology***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=4713510112126264116&hl=en&as_sdt=0,5)]

* [Theory of Minds: Understanding Behavior in Groups through Inverse Planning](https://www.aaai.org/ojs/index.php/AAAI/article/view/4574), ***AAAI'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=6755247312077985817&hl=en&as_sdt=0,5)]

* [Leveraging Facial Expressions and Contextual Information to Investigate Opaque Representations of Emotion](https://psycnet.apa.org/fulltext/2019-58384-001.pdf?auth_token=0859666184839448b848053cd7bdceb2bdf2745a) ***Emotion***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=9634378462684744548&hl=en&as_sdt=0,5)]

* [Waiting and weighting: Information sampling is a balance between efficiency and error-reduction](https://linkinghub.elsevier.com/retrieve/pii/S0010027712002235), ***Cognition***, 2013. [[All Versions](https://scholar.google.com/scholar?cluster=12787722822882067638&hl=en&as_sdt=0,5)]

* [Natural scene statistics account for the representation of scene categories in human visual cortex](https://www.sciencedirect.com/science/article/pii/S0896627313005503?via%3Dihub), ***Neuron***, 2013. [[All Versions](https://scholar.google.com/scholar?cluster=14030885492052338412&hl=en&as_sdt=0,5)]

* [Using human brain activity to guide machine learning](https://www.nature.com/articles/s41598-018-23618-6), ***Nature: Scientific Report***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=12987955253653036948&hl=en&as_sdt=0,5)]

* [What is consciousness, and could machines have it?](https://doi.org/10.1126/SCIENCE.AAN8871), ***Science***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=6932714857132107942&hl=en&as_sdt=0,5)]

* [A Theoretical Computer Science Perspective on Consciousness](https://www.worldscientific.com/doi/abs/10.1142/S2705078521500028), ***Journal of Artificial Intelligence and Consciousness***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=16430561748075101972&hl=en&as_sdt=0,5)]

* [Unit of visual working memory: A Boolean map provides a better account than an object does](https://psycnet.apa.org/record/2019-27729-001), ***Journal of Experimental Psychology***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=14909735035752892020&hl=en&as_sdt=0,5)]

* [Towards a rational constructivist theory of cognitive development](https://doi.apa.org/doiLanding?doi=10.1037/rev0000153), ***Psychological Review***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=3294824172745724080&hl=en&as_sdt=0,5)]

* [The logic of universalization guides moral judgment](https://www.pnas.org/content/117/42/26158.short), ***Proceedings of National Academy of Sciences***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=13482051983012049752&hl=en&as_sdt=0,5)]

* [Learning Triadic Belief Dynamics in Nonverbal Communication from Videos](https://arxiv.org/abs/2104.02841), ***CVPR'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=15365483338824697316&hl=en&as_sdt=0,5)]

* [Ten-month-old infants infer the value of goals from the costs of actions](https://dspace.mit.edu/bitstream/handle/1721.1/112291/ivc_full_preprint.pdf?sequence=1&isAllowed=y), ***Science***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=11862940312128630925&hl=en&as_sdt=0,5)]

* [Origins of the concepts cause, cost, and goal in prereaching infants](https://www.pnas.org/content/116/36/17747), ***Proceedings of National Academy of Sciences***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=15973074852436355789&hl=en&as_sdt=0,5)]

*[Back to Top](#c)

### Analogy

* [Analogy and Analogical Reasoning](https://plato.stanford.edu/entries/reasoning-analogy/#:~:text=Analogical%20reasoning%20is%20any%20type%20of%20thinking%20that,support%20the%20conclusion%20that%20some%20further%20similarity%20exists.), ***Plato Stanford***.

* [A Cognitive Theory of Metaphor](https://1lib.net/book/1165963/e9aa3d), ***MIT Press***, 1985. [[All Versions](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=a+cognitive+theory+of+metaphor&btnG=)]

* [The structure-mapping engine: Algorithm and examples](https://www.sciencedirect.com/science/article/abs/pii/0004370289900775), ***Artificial Intelligence***, 1989. [[All Versions](https://scholar.google.com/scholar?cluster=16104901325436513899&hl=en&as_sdt=0,5)]

* [Generalize and Blend: Concept Blending Based on Generalization, Analogy, and Amalgams](https://www.iiia.csic.es/~enric/papers/generalize_and_blend.pdf), ***ICCC'15***, 2015. [[All Versions](https://scholar.google.com/scholar?cluster=11073359237116879862&hl=en&as_sdt=0,5)]

* [Analogy-preserving Semantic Embedding for Visual Object Categorization](http://proceedings.mlr.press/v28/juhwang13.pdf), ***ICML'13***, 2013. [[All Versions](https://scholar.google.com/scholar?cluster=9332855910734484101&hl=en&as_sdt=0,5)]

* [VISALOGY: Answering Visual Analogy Questions](https://proceedings.neurips.cc/paper/2015/file/45f31d16b1058d586fc3be7207b58053-Paper.pdf), ***NIPS'15***, 2015. [[All Versions](https://scholar.google.com/scholar?cluster=7665427758655324654&hl=en&as_sdt=0,5)]

* [Detecting Unseen Visual Relations Using Analogies](https://ieeexplore.ieee.org/document/9010418), ***CVPR'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=16686853801653819556&hl=en&as_sdt=0,5)]

* [Analogy between concepts](https://www.sciencedirect.com/science/article/pii/S0004370218301863), ***Artificial Intelligence***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=1397905953174123757&hl=en&as_sdt=0,5)]

* [Learning to Make Analogies by Contrasting Abstract Relational Structure](https://arxiv.org/abs/1902.00120), ***ICLR'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=15521573039503233138&hl=en&as_sdt=0,5)]

* [Sky + Fire = Sunset. Exploring Parallels between Visually Grounded Metaphors and Image Classifiers](https://aclanthology.org/2020.figlang-1.pdf#page=140), ***ACL'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=5747285277687442001&hl=en&as_sdt=0,5)]

* [Analogy as Nonparametric Bayesian Inference over Relational Systems](https://arxiv.org/pdf/2006.04156.pdf), ***CogSci'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=1798148167130120057&hl=en&as_sdt=0,5)]

*[Back to Top](#c)

### Causality

* [Causality](https://en.wikipedia.org/wiki/Causality), ***Wikipedia***.

* [Causal Models](https://plato.stanford.edu/entries/causal-models/), ***Plato Stanford***.

* [Causal Theories of Mental Content](https://plato.stanford.edu/entries/content-causal/), ***Plato Stanford***.

* [Causal Reasoning](https://scholar.google.com/scholar?cluster=11361740093816709089&hl=en&as_sdt=0,5), ***The Oxford Handbook of Cognitive Psychology***, 2013. [[All Versions](https://scholar.google.com/scholar?cluster=11361740093816709089&hl=en&as_sdt=0,5)]

* [The Seven Tools of Causal Inference, with Reflections on Machine Learning](https://dl.acm.org/doi/pdf/10.1145/3241036), ***Communication of the ACM***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=13296019510897277617&hl=en&as_sdt=0,5)]

* [Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning](https://ojs.aaai.org//index.php/AAAI/article/view/5483), ***AAAI'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=9411622427165139667&hl=en&as_sdt=0,5)]

* [A Language for Counterfactual Generative Models](http://proceedings.mlr.press/v139/tavares21a.html), ***ICML'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=11606362305211066214&hl=en&as_sdt=0,5)]

*[Back to Top](#c)

### Commonsense

* [Towards a theory of commonsense visual reasoning](https://link.springer.com/chapter/10.1007%2F3-540-53487-3_59), ***FSTTCS***, 1990. [[All Versions](https://scholar.google.com/scholar?cluster=13178231862265713961&hl=en&as_sdt=0,5)]

* [From Recognition to Cognition: Visual Commonsense Reasoning](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8953217), ***CVPR'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=13178231862265713961&hl=en&as_sdt=0,5)] [[Project](http://visualcommonsense.com/)]

* [PIQA: Reasoning about Physical Commonsense in Natural Language](https://arxiv.org/pdf/1911.11641.pdf), ***AAAI'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=10110424163152713144&hl=en&as_sdt=0,5)]

* [Visual Commonsense R-CNN](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9156347), ***CVPR'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=6886229776034162585&hl=en&as_sdt=0,5)]

* [Abductive Commonsense Reasoning](https://openreview.net/pdf?id=Byg1v1HKDB), ***ICLR'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=16544200144479839958&hl=en&as_sdt=0,5)]

* [VisualCOMET: Reasoning About the Dynamic Context of a Still Image](https://link.springer.com/chapter/10.1007%2F978-3-030-58558-7_30), ***ECCV'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=7681600847940772451&hl=en&as_sdt=0,5)]

* [Intentonomy: a Dataset and Study towards Human Intent Understanding](https://arxiv.org/pdf/2011.05558.pdf), ***CVPR'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=5268870345003195142&hl=en&as_sdt=0,5)]

*[Back to Top](#c)

### Inductive Logic & Program Synthesis

* [Inductive Logic](https://plato.stanford.edu/entries/logic-inductive/), ***Plato Stanford***.

* [First-order Model Theory](https://plato.stanford.edu/entries/modeltheory-fo/), ***Plato Stanford***.

* [Paraconsistent Logic](https://plato.stanford.edu/entries/logic-paraconsistent/), ***Plato Stanford***.

* [Logical Consequence](https://plato.stanford.edu/entries/logical-consequence/), ***Plato Stanford***.

* [Logic Pluralism](https://plato.stanford.edu/entries/logical-pluralism/), ***Plato Stanford***.

* [The Emergence of First-Order Logic](https://plato.stanford.edu/entries/logic-firstorder-emergence/), ***Plato Stanford***.

* [Second-order and Higher-order Logic](https://plato.stanford.edu/entries/logic-higher-order/), ***Plato Stanford***.

* [Program Synthesis](https://www.microsoft.com/en-us/research/wp-content/uploads/2017/10/program_synthesis_now.pdf), ***Foundations and Trends in Programming Languages***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=5442933587668978421&hl=en&as_sdt=0,5)]

* [Abductive Logic Programming](https://academic.oup.com/logcom/article-abstract/2/6/719/942121?redirectedFrom=fulltext), ***Journal of Logic Computation***, 1992. [[All Versions](https://scholar.google.com/scholar?cluster=18119357517656745518&hl=en&as_sdt=0,5)]

* [ACLP: Abductive Constraint Logic Programming](https://www.sciencedirect.com/science/article/pii/S0743106699000758), ***The Journal of Logic Programming***, 1999. [[All Versions](https://scholar.google.com/scholar?cluster=14319574550421192429&hl=en&as_sdt=0,5)]

* [Abduction in Logic Programming](https://web.stanford.edu/class/cs227/Readings/Abudction%20in%20LP.pdf), ***Computational Logic***, 2002. [[All Versions](https://scholar.google.com/scholar?cluster=902643678163312237&hl=en&as_sdt=0,5)]

* [Towards combining inductive logic programming with Bayesian networks](https://link.springer.com/chapter/10.1007%2F3-540-44797-0_10), ***ILP'01***, 2001. [[All Versions](https://scholar.google.com/scholar?cluster=2904180673047700407&hl=en&as_sdt=0,5)]

* [Meta-interpretive learning: application to grammatical inference](https://link.springer.com/article/10.1007/s10994-013-5358-3), ***Machine Learning***, 2014. [[All Versions](https://scholar.google.com/scholar?cluster=17075313112718885592&hl=en&as_sdt=0,5)]

* [Learning Efficient Logical Robot Strategies Involving Composable Objects](http://andrewcropper.com/pubs/ijcai15-metagolo.pdf), ***IJCAI'15***, 2015. [[All Versions](https://scholar.google.com/scholar?cluster=5109851972354087162&hl=en&as_sdt=0,5)]

* [Learning Higher-Order Logic Programs through Abstraction and Invention](http://andrewcropper.com/pubs/ijcai16-metafunc.pdf), ***IJCAI'16***, 2016. [[All Versions](https://scholar.google.com/scholar?cluster=10945054943203858325&hl=en&as_sdt=0,5)]

* [How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies?](https://link.springer.com/chapter/10.1007%2F978-3-319-99960-9_3), ***ILP'18***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=8152380236842970357&hl=en&as_sdt=0,5)]

* [Meta-Interpretive Learning from noisy images](https://link.springer.com/article/10.1007/s10994-018-5710-8), ***Machine Learning***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=5719375383968868329&hl=en&as_sdt=0,5)]

* [Learning efficient logic programs](http://andrewcropper.com/pubs/mlj18-metaopt.pdf), ***Machine Learning***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=17955696870252443734&hl=en&as_sdt=0,5)]

* [Learning higher-order logic programs](http://andrewcropper.com/pubs/mlj19-metaho.pdf), ***Machine Learning***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=6723896359456002413&hl=en&as_sdt=0,5)]

* [Logical reduction of metarules](http://andrewcropper.com/pubs/mlj19-reduce.pdf), ***Machine Learning***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=4577603126537024540&hl=en&as_sdt=0,5)]

* [Playgol: Learning Programs Through Play](http://andrewcropper.com/pubs/ijcai19-playgol.pdf), ***IJCAI'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=556522464212000763&hl=en&as_sdt=0,5)]

* [Machine Discovery of Comprehensible Strategies for Simple Games Using Meta-interpretive Learning](https://link.springer.com/article/10.1007%2Fs00354-019-00054-2), ***New Generation Computing***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=11019349634035542991&hl=en&as_sdt=0,5)]

* [Forgetting to Learn Logic Programs](http://andrewcropper.com/pubs/aaai20-forgetgol.pdf), ***AAAI'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=13676986733133377042&hl=en&as_sdt=0,5)]

* [Turning 30: New Ideas in Inductive Logic Programming](https://www.ijcai.org/proceedings/2020/673), ***IJCAI'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=17980870844719684257&hl=en&as_sdt=0,5)]

* [Inductive logic programming at 30: a new introduction](https://arxiv.org/abs/2008.07912), ***Journal of Artificial Intelligence Research***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=317114056670544302&hl=en&as_sdt=0,5)]

* [Learning programs by learning from failures](https://arxiv.org/pdf/2005.02259.pdf), ***Machine Learning***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=6797200487935462023&hl=en&as_sdt=0,5)]

* [Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning](https://www.ijcai.org/proceedings/2020/320), ***IJCAI'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=6085183078630665234&hl=en&as_sdt=0,5)]

* [Meta-Interpretive Learning as Metarule Specialisation](https://arxiv.org/pdf/2106.07464.pdf), ***Machine Learning***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=14684315775211086859&hl=en&as_sdt=0,5)]

* [Qualitative Simulation](https://www.cs.utexas.edu/ftp/qsim/papers/Kuipers-aij-86.pdf), ***Artificial Intelligence***, 1986. [[All Versions](https://scholar.google.com/scholar?cluster=4945009733425184345&hl=en&as_sdt=0,5)]

* [Derivative-free optimization of high-dimensional non-convex functions by sequential random embeddings](https://www.ijcai.org/Proceedings/16/Papers/278.pdf), ***IJCAI'16***, 2016. [[All Versions](https://scholar.google.com/scholar?cluster=15955040483290586781&hl=en&as_sdt=0,5)]

* [Finitely Generated Groups and First-Order Logic](https://londmathsoc.onlinelibrary.wiley.com/doi/abs/10.1112/S0024610704006106), ***Journal of The London Mathematical Society-second Series***, 2005. [[All Versions](https://scholar.google.com/scholar?cluster=3457158221419711506&hl=en&as_sdt=0,5)]

* [DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning](https://arxiv.org/abs/2006.08381), 2020. [[All Versions](https://scholar.google.com/scholar?cluster=3288385399148303844&hl=en&as_sdt=0,5)]

* [Program Synthesis Guided Reinforcement Learning](https://arxiv.org/abs/2102.11137), 2021. [[All Versions](https://scholar.google.com/scholar?cluster=17353674428642875269&hl=en&as_sdt=0,5)]

* [Learning Part-Based Abstractions for Visual Object Concepts](https://cogtoolslab.github.io/pdf/wang_cogsci_2021a.pdf), ***CogSci'21***, 2021. [[All Versions](https://scholar.google.com/scholar?lookup=0&q=Learning+Part-Based+Abstractions+for+Visual+Object+Concepts&hl=en&as_sdt=0,5)]

*[Back to Top](#c)

### Knowledge Representation

* [Handbook of Knowledge Representation](https://1lib.net/book/511192/9eab86), ***Elsevier***, 2008. [[All Versions](https://scholar.google.com/scholar?cluster=14732064619564679879&hl=en&as_sdt=0,5)]

* [Logic and Ontology](https://plato.stanford.edu/entries/logic-ontology/), ***Plato Stanford***.

* [The Language of Thought Hypothesis](https://plato.stanford.edu/entries/language-thought/), ***Plato Stanford***.

* [The Analysis of Knowledge](https://plato.stanford.edu/entries/knowledge-analysis/), ***Plato Stanford***.

* [Scientific Representation](https://plato.stanford.edu/entries/scientific-representation/), ***Plato Stanford***.

* [Self-Knowledge](https://plato.stanford.edu/entries/self-knowledge/), ***Plato Stanford***.

* [Common Knowledge](https://plato.stanford.edu/entries/common-knowledge/), ***Plato Stanford***.

* [Sense-Data](https://plato.stanford.edu/entries/sense-data/), ***Plato Stanford***.

* [Supervenience](https://plato.stanford.edu/entries/supervenience/), ***Plato Stanford***.

* [Dialogical Logic](https://plato.stanford.edu/entries/logic-dialogical/), ***Plato Stanford***.

* [Temporal Logic](https://plato.stanford.edu/entries/logic-temporal/), ***Plato Stanford***.

* [Situation Calculus](https://en.wikipedia.org/wiki/Situation_calculus), ***Wikipedia***.

* [Modal Logic](https://plato.stanford.edu/entries/logic-modal/), ***Plato Stanford***.

* [Epistemic Logic](https://plato.stanford.edu/entries/logic-epistemic/), ***Plato Stanford***.

* [Epistemic Modal Logic](https://en.wikipedia.org/wiki/Epistemic_modal_logic), ***Wikipedia***.

* [Logics for Epistemic Programs](https://link.springer.com/article/10.1023/B:SYNT.0000024912.56773.5e), ***Synthese***, 2004. [[All Versions](https://scholar.google.com/scholar?cluster=11403619699670839488&hl=en&as_sdt=0,5&as_vis=1)]

* [A Translation Approach to Portable Ontology Specifications](https://tomgruber.org/writing/ontolingua-kaj-1993.pdf), ***Knowledge Acquisition***, 1993. [[All Versions](https://scholar.google.com/scholar?cluster=14668658395073605123&hl=en&as_sdt=0,5)]

* [Answer Set Programming](http://people.sabanciuniv.edu/~esraerdem/teaching/krr06/asp.pdf), ***ICLPNR'99***, 1999. [[All Versions](https://scholar.google.com/scholar?cluster=15267370435063454675&hl=en&as_sdt=0,5)]

* [Action Languages, Answer Sets, and Planning](https://link.springer.com/chapter/10.1007%2F978-3-642-60085-2_16), ***The Logic Programming Paradigms***, 1999. [[All Versions](https://scholar.google.com/scholar?cluster=2045126541850245645&hl=en&as_sdt=0,5)]

* [The Symbolic Grounding Problem](http://www.cs.ox.ac.uk/activities/ieg/e-library/sources/harnad90_sgproblem.pdf), ***Physica D: Nonlinear Phenomena***, 1990. [[All Versions](https://scholar.google.com/scholar?cluster=6279614024681929496&hl=en&as_sdt=0,5)]

* [The discovery of structural form](https://www.pnas.org/content/105/31/10687), ***Proceedings of National Academy of Sciences***, 2008. [[All Versions](https://scholar.google.com/scholar?cluster=10433149156915110486&hl=en&as_sdt=0,5)]

* [A Rational Analysis of Rule-Based Concept Learning](https://onlinelibrary.wiley.com/doi/full/10.1080/03640210701802071), ***Cognitive Science***, 2008. [[All Versions](https://scholar.google.com/scholar?cluster=7765061503727822620&hl=en&as_sdt=0,5)]

* [Theory Acquisition and the Language of Thought](http://www.charleskemp.com/papers/KempGT08.pdf), ***CogSci'08***, 2008. [[All Versions](https://scholar.google.com/scholar?cluster=1839916602381147749&hl=en&as_sdt=0,5)]

* [Theory Acquisition as Stochastic Search](http://web.mit.edu/tomeru/www/papers/tlss2010.pdf), ***CogSci'10***, 2010. [[All Versions](https://scholar.google.com/scholar?cluster=16324634056226561429&hl=en&as_sdt=0,5)]

* [A probabilistic model of theory formation](http://www.charleskemp.com/papers/kemptng09.pdf), ***Cognition***, 2010. [[All Versions](https://scholar.google.com/scholar?cluster=7705799129887482041&hl=en&as_sdt=0,5)]

* [Bootstrapping in a language of thought: A formal model of numerical concept learning](https://core.ac.uk/display/78064072), ***Cognition***, 2012. [[All Versions](https://scholar.google.com/scholar?cluster=13046606910781656302&hl=en&as_sdt=0,5)]

* [Exploring the Conceptual Universe](http://www.charleskemp.com/papers/kemp_exploringtheconceptualuniverse.pdf), ***Psychological Review***, 2012. [[All Versions](https://scholar.google.com/scholar?cluster=17824067813343816306&hl=en&as_sdt=0,5)]

* [A taxonomy of inductive problems](http://www.charleskemp.com/papers/kempj_ataxonomyofinductiveproblems.pdf), ***Psychonomic Bulletin & Review***, 2014. [[All Versions](https://scholar.google.com/scholar?cluster=2571009743105592927&hl=en&as_sdt=0,5)]

* [The Logical Primitives of Thought: Empirical Foundations for Compositional Cognitive Models](http://colala.berkeley.edu/papers/piantadosi2016logical.pdf), ***Psychological Review***, 2016. [[All Versions](https://scholar.google.com/scholar?cluster=5316027496661813145&hl=en&as_sdt=0,5)]

* [The Emergence of Organizing Structure in Conceptual Representation](https://onlinelibrary.wiley.com/doi/full/10.1111/cogs.12580), ***Cognitive Science***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=4986316323923233074&hl=en&as_sdt=0,5)]

* [Theory Acquisition as Constraint-Based Program Synthesis](https://cogtoolslab.github.io/pdf/wang_cogsci_2021b.pdf), ***CogSci'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=525148607069840280&hl=en&as_sdt=0,5)]

* [Connecting perceptual and procedural abstractions in physical construction](https://escholarship.org/uc/item/9j00x928), ***CogSci'21***, 2021. [[All Versions](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Connecting+perceptual+and+procedural+abstractions+in+physical+construction&btnG=)]

* [Invariant representation of physical stability in the human brain](https://www.biorxiv.org/content/10.1101/2<IP_ADDRESS>5641v1.full.pdf), 2021. [[All Versions](https://scholar.google.com/scholar?cluster=17431019238600295521&hl=en&as_sdt=0,5)]

* [Introduction to The Fluent Calculus](https://citeseerx.ist.psu.edu/viewdoc/download?doi=<IP_ADDRESS>.4086&rep=rep1&type=pdf), ***Linkoeping University Electronic Press***, 1998. [[All Versions](https://scholar.google.com/scholar?cluster=12069059079023496731&hl=en&as_sdt=0,5)]

* [From situation calculus to fluent calculus: State update axioms as a solution to the inferential frame problem](https://www.sciencedirect.com/science/article/pii/S0004370299000338), ***Artificial Intelligence***, 1999. [[All Versions](https://scholar.google.com/scholar?cluster=10854895617698839149&hl=en&as_sdt=0,5)]

*[Back to Top](#c)

### Cognitive Development

* [Cognitive Development](https://en.wikipedia.org/wiki/Cognitive_development), ***Wikipedia***.

* [Cognitive development: An information processing approach](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Cognitive+Development%3A+an+information+processing+approach&btnG=), ***B.Blackwell***, 1991. [[All Versions](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Cognitive+development%3A+An+information+processing+approach&btnG=)]

* [From exploration to play: A cross-sectional study of infant free play behavior](https://psycnet.apa.org/record/1981-32566-001), ***Developmental Psychology***, 1981. [[All Versions](https://scholar.google.com/scholar?cluster=15547331535034599545&hl=en&as_sdt=0,5)]

* [Detecting Blickets: How Young Children Use Information about Novel Causal Powers in Categorization and Induction](https://srcd.onlinelibrary.wiley.com/doi/abs/10.1111/1467-8624.00224), ***Children Development***, 2003. [[All Versions](https://scholar.google.com/scholar?cluster=9049737233568227380&hl=en&as_sdt=0,5)]

* [Serious fun: Preschoolers engage in more exploratory play when evidence is confounded](http://eccl.scripts.mit.edu/papers/bonawitzandschulzseriousfun.pdf), ***Developmental Psychology***, 2007. [[All Versions](https://scholar.google.com/scholar?cluster=3033619407322882147&hl=en&as_sdt=0,5)]

* [The origins of inquiry: inductive inference and exploration in early childhood](https://www.sciencedirect.com/science/article/pii/S1364661312001301), ***Trends in Cognitive Sciences***, 2012. [[All Versions](https://scholar.google.com/scholar?cluster=5189329081728071335&hl=en&as_sdt=0,5)]

* [Learning higher-order generalizations through free play: Evidence from 2- and 3-year-old children](https://psycnet.apa.org/buy/2017-12497-003), ***Developmental Psychology***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=4386474921214936914&hl=en&as_sdt=0,5)]

*[Back to Top](#c)

### Learning in the Open World

* [Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8413121), ***Trans. PAMI***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=11909080239486864961&hl=en&as_sdt=0,5)]

* [Towards Open World Recognition](https://ieeexplore.ieee.org/document/7298799), ***CVPR'15***, 2015. [[All Versions](https://scholar.google.com/scholar?cluster=856704237994181529&hl=en&as_sdt=0,5)]

* [Towards Open Set Deep Networks](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780542), ***CVPR'16***, 2016. [[All Versions](https://scholar.google.com/scholar?cluster=3571743951915089896&hl=en&as_sdt=0,5)]

* [In the Wild: From ML Models to Pragmatic ML Systems](https://arxiv.org/pdf/2007.02519.pdf) , ***ICLR'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=15243890330014986346&hl=en&as_sdt=0,5)]

* [Adversarial Filters of Dataset Biases](https://arxiv.org/pdf/2002.04108.pdf), ***ICML'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=11617966867048191189&hl=en&as_sdt=0,5)]

* [A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning](https://arxiv.org/pdf/2009.01797.pdf), 2020. [[All Versions](https://scholar.google.com/scholar?cluster=2640432662088551010&hl=en&as_sdt=0,5)]

* [Energy-Based Models for Continual Learning](https://arxiv.org/pdf/2011.12216.pdf), ***NIPS'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=7094884707139778576&hl=en&as_sdt=0,5)] [[Project](https://energy-based-model.github.io/Energy-Based-Models-for-Continual-Learning/)]

* [Learning to Learn Image Classifiers with Visual Analogy](https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhou_Learning_to_Learn_Image_Classifiers_With_Visual_Analogy_CVPR_2019_paper.pdf), ***CVPR'18***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=6285495755337309034&hl=en&as_sdt=0,5)]

* [Zero-Shot Object Detection](https://arxiv.org/pdf/1804.04340v2.pdf), ***ECCV'18***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=2027060030559987993&hl=en&as_sdt=0,5)]

* [Towards Open World Object Detection](https://arxiv.org/pdf/2103.02603v1.pdf), ***CVPR'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=9715328489246217151&hl=en&as_sdt=0,5)] [[Project](https://github.com/JosephKJ/OWOD)]

* [Learning to Recognise Unseen Classes by A Few Similes](https://dl.acm.org/doi/pdf/10.1145/3123266.3123323), ***MM'17***, 2017. [[All Versions](https://scholar.google.com/scholar?q=related:FZZr2BK0U6YJ:scholar.google.com/&scioq=Learning+to+Recognise+Unseen+Classes+by+A+Few+Similes&hl=en&as_sdt=0,5)]

* [Ontology-guided Semantic Composition for Zero-Shot Learning](https://proceedings.kr.org/2020/87/kr2020-0087-chen-et-al.pdf), ***KR'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=1825132732653262003&hl=en&as_sdt=0,5&scioq=Learning+to+Recognise+Unseen+Classes+by+A+Few+Similes)]

* [OntoZSL: Ontology-enhanced Zero-shot Learning](https://arxiv.org/pdf/2102.07339.pdf), ***WWW'21***, 2021. [[All Versions](https://scholar.google.com/scholar?cluster=1042573079110416209&hl=en&as_sdt=0,5&scioq=Learning+to+Recognise+Unseen+Classes+by+A+Few+Similes)]

* [Knowledge-aware Zero-Shot Learning: Survey and Perspective](https://arxiv.org/abs/2103.00070), ***IJCAI'21*** 2021. [[All Versions](https://scholar.google.com/scholar?cluster=2596179801089642923&hl=en&as_sdt=0,5&scioq=Learning+to+Recognise+Unseen+Classes+by+A+Few+Similes)]

* [From Red Wine to Red Tomato: Composition

repository: flamato/Awesome-AGI-CoCoSci

repo_name: flamato/Awesome-AGI-CoCoSci


text:
with Context](https://ieeexplore.ieee.org/document/8099612), ***CVPR'17***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=6959320578989247472&hl=en&as_sdt=0,5&scioq=Learning+to+Recognise+Unseen+Classes+by+A+Few+Similes)]

* [Attributes as Operators: Factorizing Unseen Attribute-Object Compositions](https://link.springer.com/chapter/10.1007%2F978-3-030-01246-5_11), ***ECCV'18***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=11627198158637727139&hl=en&as_sdt=0,5&scioq=Learning+to+Recognise+Unseen+Classes+by+A+Few+Similes)]

* [Learning Compositional Representations for Few-Shot Recognition](https://ieeexplore.ieee.org/document/9010671), ***CVPR'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=7363445845219257348&hl=en&as_sdt=0,5&scioq=Learning+to+Recognise+Unseen+Classes+by+A+Few+Similes)]

* [Symmetry and Group in Attribute-Object Compositions](https://ieeexplore.ieee.org/document/9156505), ***CVPR'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=16870815556752021056&hl=en&as_sdt=0,5&scioq=Learning+to+Recognise+Unseen+Classes+by+A+Few+Similes)]

* [A causal view of compositional zero-shot recognition](https://proceedings.neurips.cc/paper/2020/file/1010cedf85f6a7e24b087e63235dc12e-Paper.pdf), ***NIPS'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=2543173389101020482&hl=en&as_sdt=0,5&scioq=Learning+to+Recognise+Unseen+Classes+by+A+Few+Similes)]

* [Compositional Few-Shot Recognition with Primitive Discovery and Enhancing](https://dl.acm.org/doi/10.1145/3394171.3413849), ***MM'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=15817839338790433509&hl=en&as_sdt=0,5&scioq=Learning+to+Recognise+Unseen+Classes+by+A+Few+Similes)]

* [Learning Unseen Concepts via Hierarchical Decomposition and Composition](https://ieeexplore.ieee.org/document/9156655), ***CVPR'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=14161656227038242300&hl=en&as_sdt=0,5&scioq=Learning+to+Recognise+Unseen+Classes+by+A+Few+Similes)]

*[Back to Top](#c)

### Tasks & Environments

#### Dataset Aggregation
  * [A Dataset and Architecture for Visual Reasoning with a Working Memory](https://link.springer.com/chapter/10.1007%2F978-3-030-01249-6_44), ***ECCV'18***, 2018. [[Project](https://github.com/google/cog)]
  * [PHYRE: A New Benchmark for Physical Reasoning](https://research.fb.com/wp-content/uploads/2019/08/PHYRE-A-New-Benchmark-for-Physical-Reasoning-v4.pdf), ***NIPS'19***, 2019.
  * [CATER: A diagnostic dataset for Compositional Actions & TEmporal Reasoning](https://openreview.net/forum?id=HJgzt2VKPB), ***ICLR'20***, 2020. [[Project](https://rohitgirdhar.github.io/CATER/)]
  * [CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning](https://arxiv.org/abs/2010.04296), 2020.

#### Embodied AI Environment
  * [ThreeDWorld](http://www.threedworld.org/), ***MIT-IBM***. [[Paper](https://arxiv.org/abs/2007.04954)]
  * [Rearrangement: A Challenge for Embodied AI](https://arxiv.org/pdf/2011.01975.pdf), 2020.
  * [iGibson](http://svl.stanford.edu/igibson/), ***Stanford***. [[Paper](https://ieeexplore.ieee.org/document/8954627)]
  * [AI2-THOR](https://ai2thor.allenai.org/ithor), ***Allen Institute***. [[Paper](https://arxiv.org/abs/1712.05474)]
  * [Robo-THOR](https://ai2thor.allenai.org/robothor), ***Allen Institute***. [[Paper](https://arxiv.org/abs/2004.06799)]
  * [Manipula-THOR](https://ai2thor.allenai.org/manipulathor), ***Allen Institute***. [[Paper](https://arxiv.org/abs/2104.11213)]
  * [RLBench](https://sites.google.com/view/rlbench), ***Imperial College***. [[Paper](https://ieeexplore.ieee.org/document/9001253)]

#### First-Person Vision
  * [First-Person Vision](https://ieeexplore.ieee.org/document/6232429), ***Proceedings of the IEEE***, 2012.
  * [The Evolution of First Person Vision Methods: A Survey](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7055926), ***Trans. CSVT***, 2015.
  * [Understanding the Nature of First-Person Videos: Characterization and Classification using Low-Level Features](http://vijaychan.github.io/Publications/2014%20CVPR%20Workshop%20-%20Understanding%20the%20Nature%20of%20First-Person%20Videos.pdf), ***CVPR'14***, 2014.
  * [Pooled Motion Features for First-Person Videos](https://openaccess.thecvf.com/content_cvpr_2015/papers/Ryoo_Pooled_Motion_Features_2015_CVPR_paper.pdf), ***CVPR'15***, 2015.
  * [Actor and Observer: Joint Modeling of First and Third-Person Videos](https://openaccess.thecvf.com/content_cvpr_2018/papers/Sigurdsson_Actor_and_Observer_CVPR_2018_paper.pdf), ***CVPR'18***, 2018.
  * [Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video](https://link.springer.com/chapter/10.1007/978-3-030-58452-8_41), ***ECCV'20***, 2020.
  * [Rolling-Unrolling LSTMs for Action Anticipation from First-Person Video](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9088213), ***Trans. PAMI***, 2020.
  * [View-Action Representation Learning for Active First-Person Vision](https://ieeexplore.ieee.org/document/9064828), ***Trans. CSVT***, 2021.
#####  **Datasets & Environments**
  * [Design and Use Paradigms for Gazebo, An Open-Source Multi-Robot Simulator](https://ieeexplore.ieee.org/abstract/document/1389727), ***IROS'04***, 2004. [[Project](http://gazebosim.org/)]
  * [ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning](https://arxiv.org/pdf/1605.02097v2.pdf), ***CIG'16***, 2016. [[Project](http://vizdoom.cs.put.edu.pl/)]
  * [Is First Person Vision Challenging for Object Tracking? The TREK-100 Benchmark Dataset](https://arxiv.org/abs/2011.12263), 2020.
  * **Visual Experience Database** [[Project](http://visualexperiencedatabase.org/research.html)] [[Publications](http://visualexperiencedatabase.org/publications.html)]

#### Abstract Reasoning Challenge
  * [On the Measure of Intelligence](https://arxiv.org/pdf/1911.01547.pdf), ***Google Research***, 2019.
  * [Abstract Reasoning Challenge](https://www.kaggle.com/c/abstraction-and-reasoning-challenge/)

#### AI Birds Challenge
  * [AI-Birds](https://aibirds.org), ***IJCAI***.
  * [Hi-Phy: A Benchmark for Hierarchical Physical Reasoning](https://openreview.net/forum?id=AcL1ORzw0Nf), 2021.

#### Minecraft
  * [Mining Learning and Crafting Scientific Experiments: A Literature Review on the Use of Minecraft in Education and Research](https://eric.ed.gov/?id=EJ1097278), ***Journal on Eduction Technology & Society***, 2016.

##### Malmo Platform for Minecraft AI
  * [The Malmo Platform for Artificial Intelligence Experimentation](https://www.microsoft.com/en-us/research/publication/malmo-platform-artificial-intelligence-experimentation/) ***IJCAI'16***, 2016.
  * [[Malmo](https://github.com/Microsoft/malmo#getting-started)]
  * [[Malmo-env](https://github.com/Microsoft/malmo/tree/master/MalmoEnv)]
  * [[Malmo-Tutorials](https://microsoft.github.io/malmo/0.17.0/Python_Examples/Tutorial.pdf)]
  * [[MineRL](https://minerl.io/)]
  * [[MarLo Challenge 2018](https://github.com/crowdAI/marLo)]

#####  **Artificial Intelligence**
  * [Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft](https://arxiv.org/abs/2106.14876), 2021.
  * [Learning to execute instructions in a Minecraft dialogue](https://www.aclweb.org/anthology/2020.acl-main.232/), ***ACL'20***, 2020.
  * [Collaborative Dialogue in Minecraft](https://www.aclweb.org/anthology/P19-1537.pdf), ***ACL'19***, 2019.
  * [Learning Skill Hierarchies from Predicate Descriptions and Self-Supervision](http://web.mit.edu/tslvr/www/papers/genplan20_camera_ready.pdf), ***AAAI GenPlan Workshop***, 2020.
  * [AMRL: Aggregated Memory for Reinforcement Learning](https://openreview.net/pdf?id=Bkl7bREtDr), ***ICLR'20***, 2020.
  * [MineRL: A Large-Scale Dataset of Minecraft Demonstrations](https://www.ijcai.org/Proceedings/2019/0339.pdf) ***IJCAI'19***, 2019. [[2020 Competition](https://arxiv.org/abs/2106.03748)]
  * [Design Mining for Minecraft Architecture](http://www.cs.cornell.edu/~eland/papers/aiide2018.pdf), ***AAAI'18***, 2018.
  * [Adaptive Agents in Minecraft: A Hybrid Paradigm for Combining Domain Knowledge with Reinforcement Learning](https://link.springer.com/chapter/10.1007%2F978-3-319-71679-4_6), ***AAMAS'17***, 2017.
  * [Asynchronous Data Aggregation for Training End to End Visual Control Networks](https://www.microsoft.com/en-us/research/wp-content/uploads/2017/05/fp185-monfort-1.pdf), ***AAMAS'17***, 2017.
  * [A Deep Hierarchical Approach to Lifelong Learning in Minecraft](https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14630/13950), ***AAAI'17***, 2017.
  * [Modular Multitask Reinforcement Learning with Policy Sketches](http://proceedings.mlr.press/v70/andreas17a.html), ***ICML'17***, 2017.
  * [Control of memory, active perception, and action in minecraft](http://proceedings.mlr.press/v48/oh16.pdf), ***ICML'16***, 2016.
  * [Learning Behavior from Demonstration in Minecraft via Symbolic Similarity Measures](fdg2015.org/papers/fdg2015_paper_11.pdf), ***FDG'15***, 2015.

#####  **Cognitive Science**
  * [How Players Speak to an Intelligent GameCharacter Using Natural Language Messages](http://todigra.org/index.php/todigra/article/view/88/139), ***DiGRA***, 2018.
  * [Minecraft as a Generative Platform for Analyzing and Practicing Spatial Reasoning](https://link.springer.com/chapter/10.1007%2F978-3-030-57983-8_22), ***Spatial Cognition'20***, 2020.
  * [Generative Design in Minecraft: Chronicle Challenge](http://computationalcreativity.net/iccc2019/papers/iccc19-lbp-7.pdf), ***ICCC'20***, 2020.
  * [Minecraft as a Platform for Project-Based Learning in AI](https://aaai.org/ojs/index.php/AAAI/article/view/7070), ***AAAI'20***, 2020.
  * [MC-Saar-Instruct: a Platform for Minecraft Instruction Giving Agents](https://www.aclweb.org/anthology/2020.sigdial-1.7.pdf), ***SIGDial'20***, 2020.

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## Researchers & Labs

### MIT

* [Center for Brains, Minds and Machines (CBMM)](https://cbmm.mit.edu/).

* [Josh Tenenbaum](https://cocosci.mit.edu/josh), [Computational Cognitive Science Group (CoCoSci Group)](https://cocosci.mit.edu/).

* [Rebecca Saxe](https://saxelab.mit.edu/people/rebecca-saxe), [Social Cognitive Neuroscience Laboratory (SaxeLab)](https://saxelab.mit.edu/).

* [Laura Schulz](https://cbmm.mit.edu/about/people/schulz), [Early Childhood Cognition Lab](https://eccl.mit.edu/).

* [Leslie Kaelbling](https://people.csail.mit.edu/lpk/), [The Learning & Intelligent Systems Group](https://lis.csail.mit.edu/).

* [Computational Cognitive Science Courses](https://cbmm.mit.edu/education/courses/computational-cognitive-science), ***MIT, Harvard, Stanford, JHU...***

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### Stanford

* [Noah Goodman](https://cocolab.stanford.edu/ndg.html), [Computation & Cognition Lab (CoCoLab)](https://cocolab.stanford.edu/).

* [Tobias Gerstenberg](https://cicl.stanford.edu/member/tobias_gerstenberg/), [Causality in Cognition Lab (CICL)](https://cicl.stanford.edu/).

* [Jiajun Wu](https://jiajunwu.com/).

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### Princeton

* [Tom Griffiths](https://cocosci.princeton.edu/tom/index.php), [Computational Cognitive Science Lab](https://cocosci.princeton.edu/index.php).

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### UCLA

* [Center for Vision, Cognition, Learning and Autonomy (VCLA)](http://vcla.stat.ucla.edu/).

* [Tao Gao](http://www.stat.ucla.edu/~taogao/Taogao.html), [Visual Intelligence Lab](http://www.stat.ucla.edu/~taogao/index.html).

* [Hongjing Lu](https://www.psych.ucla.edu/faculty/page/hongjing), [Computational Vision and Learning Lab (CVL)](http://cvl.psych.ucla.edu/).

* [Judea Pearl](http://bayes.cs.ucla.edu/jp_home.html), [Cognitive Systems Lab](http://bayes.cs.ucla.edu/).

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### UC Berkeley

* [Fei Xu](https://psychology.berkeley.edu/people/fei-xu), [Berkeley Early Learning Lab (Xu Lab)](https://babylab5.wixsite.com/bell).

* [Alison Gopnik](http://alisongopnik.com/), [Cognitive Development & Learning Lab (Gopnik Lab)](http://www.gopniklab.berkeley.edu/).

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### UCSD

* [Judith Fan](https://psychology.ucsd.edu/people/profiles/jefan.html), [Cognitive Tools Lab](https://cogtoolslab.github.io/).

* [Zhuowen Tu](https://pages.ucsd.edu/~ztu/), [Machine Learning, Perception, and Cognition Lab (mlPC)](https://pages.ucsd.edu/~ztu/Group.htm).

* [Ed Vul](https://psychology.ucsd.edu/people/profiles/evul.html), [Computational Cognition Lab](http://www.evullab.org/index.html).

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### NYU

* [Brenden Lake](https://cims.nyu.edu/~brenden/), [Human & Machine Learning Lab (Lake Lab)](https://lake-lab.github.io/).

* [Wei Ji Ma](http://www.cns.nyu.edu/malab/people.html), [Wei Ji Ma Lab](http://www.cns.nyu.edu/malab/).

### BIGAI

* [Beijing Institute for General Artificial Intelligence (BIGAI)](https://bigai.ai/).

* [Yixin Zhu](https://yzhu.io/).

* [Song-Chun Zhu](http://www.stat.ucla.edu/~sczhu/).

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## Books

### Ulf Grenander

* [A Calculus of Ideas: A Mathematical Study of Thinking](https://www.dam.brown.edu/ptg/REPORTS/calculustext.PDF), ***World Scientific Publishing Company***, 2012. [[All Versions](https://scholar.google.com/scholar?cluster=12182416000849265255&hl=en&as_sdt=0,5)]

* [General Pattern Theory: A Mathematical Study of Regular Structures](https://global.oup.com/academic/product/general-pattern-theory-9780198536710?cc=lt&lang=de#), ***Oxford University Press***, 1993. [[All Versions](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=General+Pattern+Theory&btnG=)]

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### Michael Tomasello

* [Origins of human communication](https://1lib.net/book/541274/39859f), ***MIT Press***, 2010. [[All Versions](https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=2553369883266458474)]

* [The cultural origins of human cognition](https://hk1lib.org/book/541275/1452f8?id=541275&secret=1452f8), ***Havard University Press***, 2000. [[All Versions](https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=5000469061641945144)]

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### Judea Pearl

* [The Book of Why: The New Science of Cause and Effect](http://bayes.cs.ucla.edu/WHY/), ***Basic Books***, 2018. [[All Versions](https://scholar.google.com/scholar?cluster=2505901292485349932&hl=en&as_sdt=0,5)]

* [Causality: Models, Reasoning and Inference](https://hk1lib.org/book/2780725/2ec8f1?id=2780725&secret=2ec8f1), ***Cambridge University Press***, 2009. [[All Versions](https://scholar.google.com/scholar?cluster=10996260119229499611&hl=en&as_sdt=0,5&as_vis=1)]

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branch_name: refs/heads/master

extension: md

license_type: permissive