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Charles Kemp [24]Charles F. Kemp [1]
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Charles Kemp
Carnegie Mellon University
  1. Probabilistic Models of Cognition: Exploring Representations and Inductive Biases.Thomas L. Griffiths, Nick Chater, Charles Kemp, Amy Perfors & Joshua B. Tenenbaum - 2010 - Trends in Cognitive Sciences 14 (8):357-364.
  2.  89
    Theory-Based Bayesian Models of Inductive Learning and Reasoning.Joshua B. Tenenbaum, Thomas L. Griffiths & Charles Kemp - 2006 - Trends in Cognitive Sciences 10 (7):309-318.
  3.  8
    Structured Statistical Models of Inductive Reasoning.Charles Kemp & Joshua B. Tenenbaum - 2009 - Psychological Review 116 (1):20-58.
  4.  29
    Belief Polarization is Not Always Irrational.Alan Jern, Kai-min K. Chang & Charles Kemp - 2014 - Psychological Review 121 (2):206-224.
  5.  34
    The Imaginary Fundamentalists: The Unshocking Truth About Bayesian Cognitive Science.Nick Chater, Noah Goodman, Thomas L. Griffiths, Charles Kemp, Mike Oaksford & Joshua B. Tenenbaum - 2011 - Behavioral and Brain Sciences 34 (4):194-196.
    If Bayesian Fundamentalism existed, Jones & Love's (J&L's) arguments would provide a necessary corrective. But it does not. Bayesian cognitive science is deeply concerned with characterizing algorithms and representations, and, ultimately, implementations in neural circuits; it pays close attention to environmental structure and the constraints of behavioral data, when available; and it rigorously compares multiple models, both within and across papers. J&L's recommendation of Bayesian Enlightenment corresponds to past, present, and, we hope, future practice in Bayesian cognitive science.
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  6.  70
    Learning to Learn Causal Models.Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum - 2010 - Cognitive Science 34 (7):1185-1243.
    Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical Bayesian framework that helps to explain how learning about several causal systems can accelerate learning about systems that are subsequently encountered. Given experience with a set of objects, our framework learns a causal model for each object and a causal schema that captures commonalities among these causal models. The schema organizes the (...)
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  7.  24
    A Probabilistic Model of Theory Formation.Charles Kemp, Joshua B. Tenenbaum, Sourabh Niyogi & Thomas L. Griffiths - 2010 - Cognition 114 (2):165-196.
  8.  36
    Inductive Reasoning About Causally Transmitted Properties.Patrick Shafto, Charles Kemp, Elizabeth Baraff Bonawitz, John D. Coley & Joshua B. Tenenbaum - 2008 - Cognition 109 (2):175-192.
  9.  4
    “Structured Statistical Models of Inductive Reasoning”: Correction.Charles Kemp & Joshua B. Tenenbaum - 2009 - Psychological Review 116 (2):461-461.
  10.  6
    Successful Structure Learning From Observational Data.Anselm Rothe, Ben Deverett, Ralf Mayrhofer & Charles Kemp - 2018 - Cognition 179:266-297.
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  11.  10
    People Learn Other People’s Preferences Through Inverse Decision-Making.Alan Jern, Christopher G. Lucas & Charles Kemp - 2017 - Cognition 168:46-64.
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  12.  23
    Learning Causal Schemata.Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum - 2007 - In McNamara D. S. & Trafton J. G. (eds.), Proceedings of the 29th Annual Cognitive Science Society. Cognitive Science Society. pp. 389--394.
  13.  16
    A Probabilistic Model of Cross-Categorization.Patrick Shafto, Charles Kemp, Vikash Mansinghka & Joshua B. Tenenbaum - 2011 - Cognition 120 (1):1-25.
  14.  12
    A Decision Network Account of Reasoning About Other People’s Choices.Alan Jern & Charles Kemp - 2015 - Cognition 142:12-38.
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  15.  10
    Color Naming Reflects Both Perceptual Structure and Communicative Need.Noga Zaslavsky, Charles Kemp, Naftali Tishby & Terry Regier - 2019 - Topics in Cognitive Science 11 (1):207-219.
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  16.  3
    Exploring the Conceptual Universe.Charles Kemp - 2012 - Psychological Review 119 (4):685-722.
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  17. A Taxonomy of Inductive Problems.Charles Kemp & Alan Jern - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 255--260.
     
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  18.  15
    Evaluating the Inverse Reasoning Account of Object Discovery.Christopher D. Carroll & Charles Kemp - 2015 - Cognition 139:130-153.
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  19.  40
    Structured Models of Semantic Cognition.Charles Kemp & Joshua B. Tenenbaum - 2008 - Behavioral and Brain Sciences 31 (6):717-718.
    Rogers & McClelland (R&M) criticize models that rely on structured representations such as categories, taxonomic hierarchies, and schemata, but we suggest that structured models can account for many of the phenomena that they describe. Structured approaches and parallel distributed processing (PDP) approaches operate at different levels of analysis, and may ultimately be compatible, but structured models seem more likely to offer immediate insight into many of the issues that R&M discuss.
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  20.  19
    Questions for Future Research.Joshua B. Tenenbaum, Thomas L. Griffiths & Charles Kemp - 2006 - Trends in Cognitive Sciences 10 (7):309-318.
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  21.  4
    Chaining and the Growth of Linguistic Categories.Amir Ahmad Habibi, Charles Kemp & Yang Xu - 2020 - Cognition 202:104323.
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  22. Category Generation.Alan Jern & Charles Kemp - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
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  23.  3
    Corrigendum to “People Learn Other People’s Preferences Through Inverse Decision-Making” [Cognition 168 46–64].Alan Jern, Christopher G. Lucas & Charles Kemp - 2018 - Cognition 175:201.
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  24. Life-Situation Preaching.Charles F. Kemp - 1956
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