Probabilistic models of cognition: where next?

Trends in Cognitive Sciences

Volumn 10, Issue 7, 2006, Pages 292-293

  Chater, Nick ^a   Tenenbaum, Joshua B ^b   Yuille, Alan ^c  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITION; EDITORIAL; INFORMATION PROCESSING; LEARNING; PROBABILITY MODEL; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; COGNITION; EXPERT SYSTEMS; HUMANS; MARKOV CHAINS; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PROBABILITY THEORY; ROBOTICS;

EID: 33746260422     PISSN: 13646613     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tics.2006.05.008     Document Type: Editorial

References (11)

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2. Hájek, Alan, (2003) Interpretations of probability. In The Stanford Encyclopedia of Philosophy (Zalta, E.N., ed.), http://plato.stanford.edu/archives/sum2003/entries/probability-interpret/
3. Pearl J. Probabilistic Reasoning in Intelligent Systems (1988), Morgan Kaufmann
4. Milch, B. et al. (2005) BLOG: Probabilistic models with unknown objects. In Proc. 19th Int. Joint Conf. Artif. Intell. (IJCAI), pp. 1352-1359, Morgan Kaufmann
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11. Daw N., et al. Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control. Nature Neurosci. 8 (2005) 1704-1711