Has subject area
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For 2008 6 Digit Code
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Seo 2008 6 Digit Code
A/PROF Charles Kemp
Positions
- Human learning and reasoning
Overview
Publications
Selected publications
2018
Journal Articles Refereed
- Efficient compression in color naming and its evolution. Proceedings of the National Academy of Sciences of the United States of America. 115. 2018
- Semantic Typology and Efficient Communication 2018
- Successful structure learning from observational data. Cognition. 179. 2018
2017
Journal Articles
- None of the Above: A Bayesian Account of the Detection of Novel Categories. Psychological Review. 124. 2017
- People learn other people's preferences through inverse decision-making. Cognition. 168. 2017
Conference Proceedings
2016
Journal Articles
2015
Book Chapters
- Word Meanings across Languages Support Efficient Communication. The handbook of language emergence. John Wiley & Sons. 2015
Journal Articles
- A decision network account of reasoning about other people's choices. Cognition. 142. 2015
- An Improved Probabilistic Account of Counterfactual Reasoning. Psychological Review. 122. 2015
- Evaluating the inverse reasoning account of object discovery. Cognition. 139. 2015
Conference Proceedings
2014
Journal Articles
- A taxonomy of inductive problems. Psychonomic Bulletin and Review. 21. 2014
- Belief Polarization Is Not Always Irrational. Psychological Review. 121. 2014
Conference Proceedings
2013
Journal Articles
- A probabilistic account of exemplar and category generation. Cognitive Psychology. 66. 2013
Conference Proceedings
2012
Book Chapters
- Bayesian Inference. The Oxford Handbook of Thinking and Reasoning. 2012
Journal Articles
- An integrated account of generalization across objects and features. Cognitive Psychology. 64. 2012
- Exploring the Conceptual Universe. Psychological Review. 119. 2012
- Kinship Categories Across Languages Reflect General Communicative Principles. Science. 336. 2012
Conference Proceedings
2011
Journal Articles
- A probabilistic model of cross-categorization. Cognition. 120. 2011
- How to Grow a Mind: Statistics, Structure, and Abstraction. Science. 331. 2011
- The imaginary fundamentalists: The unshocking truth about Bayesian cognitive science. Behavioral and Brain Sciences. 34. 2011
Conference Proceedings
- Capturing mental state reasoning with influence diagrams 2011
- Concept learning and modal reasoning 2011
- Decision factors that support preference learning 2011
- Evaluating the inverse decision-making approach to preference learning 2011
- From preferences to choices and back again: evidence for human inconsistency and its implications 2011
- Inductive reasoning about chimeric creatures 2011
2010
Journal Articles
- A probabilistic model of theory formation. Cognition. 114. 2010
- Category and feature identification. Acta Psychologica. 133. 2010
- Learning to Learn Causal Models 2010
- Probabilistic models of cognition: exploring representations and inductive biases. Trends in Cognitive Sciences. 14. 2010
Conference Proceedings
2009
Journal Articles
- Structured Statistical Models of Inductive Reasoning. Psychological Review. 116. 2009
Conference Proceedings
- Abstraction and relational learning 2009
- An ideal observer model of infant object perception 2009
- Bayesian belief polarization 2009
- Category generation 2009
- Individuation, identification and object discovery 2009
- Learning and using relational theories 2009
- Object discovery and identification 2009
- One-Shot Learning with Bayesian Networks 2009
- Quantification and the language of thought 2009
2008
Book Chapters
- Bayesian models of cognition. Cambridge University Press. 2008
Journal Articles
- Inductive reasoning about causally transmitted properties. Cognition. 109. 2008
- Structured models of semantic cognition. Behavioral and Brain Sciences. 31. 2008
- The discovery of structural form. Proceedings of the National Academy of Sciences of the United States of America. 105. 2008
Conference Proceedings
2007
Journal Articles
- Learning overhypotheses with hierarchical Bayesian models. Developmental Science. 10. 2007
Conference Proceedings
- Combining causal and similarity-based reasoning. Advances in Neural Information Processing Systems. 2007
- Learning annotated hierarchies from relational data. Advances in Neural Information Processing Systems. 2007
- Learning causal schemata 2007
- Learning inductive constraints: The acquisition of verb argument constructions 2007
2006
Journal Articles
- Theory-based Bayesian models of inductive learning and reasoning. Trends in Cognitive Sciences. 10. 2006
Conference Proceedings
- Learning Cross-cutting Systems of Categories 2006
- Learning overhypotheses 2006
- Learning systems of concepts with an infinite relational model 2006
- Learning systems of concepts with an infinite relational model 2006
- Nonsense and Sensibility: Inferring Unseen Possibilities 2006
- Structured priors for structure learning 2006
2005
Conference Proceedings
2004
Conference Proceedings
- Learning domain structures 2004
- Semi-supervised learning with trees. Advances in Neural Information Processing Systems. 2004
2003
Conference Proceedings
2002
Conference Papers Refereed
Awards
Education and training
- PhD, Massachusetts Institute of Technology 2008
Supervision
Available for supervision
- Y
Supervision Statement
- I'm a cognitive scientist and much of my work involves developing and evaluating computational models. I'm looking for students with some background in a technical field (e.g. computer science, mathematics, statistics) and a keen interest in human behavior. Representative topics include cross-linguistic semantics, cultural and linguistic evolution, categorization, learning, decision-making and inductive reasoning. Representative approaches include probabilistic modeling, information-theoretic analyses, and the analysis of large naturally occurring data sets (e.g. linguistic corpora, dictionaries, twitter posts, and image collections). Please get in touch if you'd like to discuss possible research projects.
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