Back to Results
First PageMeta Content
Statistical inference / Cognitive science / Bayesian statistics / Machine learning / Bayesian inference / Decision theory / Probability matching / Representativeness heuristic / Mathematical model / Statistics / Science / Statistical theory


How robust are probabilistic models of higher-level cognition? 6 January 2013 Gary F. Marcus Ernest Davis
Add to Reading List

Document Date: 2013-10-03 10:36:11


Open Document

File Size: 296,64 KB

Share Result on Facebook

City

Boston / Love / /

Company

G. & Gelman S. A. / Lawrence Erlbaum Associates Inc. / Wickens D. D. / Harvard University Press / Google / /

Country

United States / /

Currency

USD / /

Facility

University Abstract / Library of Congress / /

IndustryTerm

online data / breadth-first search strategy / much more suitable solutions / example inverse power law / sensorimotor systems / insurance / online corpus / /

Movie

The Dark Knight / /

Organization

Congress / New York University / Harvard University / Cognitive Science Society / House of Representatives / MIT / National Academy of Sciences / /

Person

Athena Vouloumanos / F. Marcus Ernest Davis / Gregory Murphy / Michael Frank / Marjorie Rhodes / Fei Xu / Noah Goodman / Tom Griffiths / Gary F. Marcus / Michael Chagnon / Steven Pinker / /

/

Position

rational actor / actuary / model in Griffiths / speaker / intuitive psychologist / representative / /

ProgrammingLanguage

php / /

ProvinceOrState

North Dakota / British Columbia / /

PublishedMedium

Proceedings of the National Academy of Sciences / PLoS ONE / Scientific American / Psychological Review / The Behavioral and Brain Sciences / Psychological Bulletin / /

Technology

neuroscience / artificial intelligence / /

URL

http /

SocialTag