The Probabilistic Mind
Prospects for Bayesian Cognitive Science
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Probabilistic Mind by Nick Chater
Book DescriptionThe rational analysis method, first proposed by John R. Anderson, has been enormously influential in helping us understand high-level cognitive processes. 'The Probabilistic Mind' is a follow-up to the influential and highly cited 'Rational Models of Cognition' (OUP, 1998). It brings together developments in understanding how, and how far, high-level cognitive processes can be understood in rational terms, and particularly using probabilistic Bayesian methods. It synthesizes and evaluates the progress in the past decade, taking into account developments in Bayesian statistics, statistical analysis of the cognitive 'environment' and a variety of theoretical and experimental lines of research. The scope of the book is broad, covering important recent work in reasoning, decision making, categorization, and memory. Including chapters from many of the leading figures in this field, 'The Probabilistic Mind' will be valuable for psychologists and philosophers interested in cognition.
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Book DetailsISBN: 9780199216093
(235mm x 156mm x 28mm)
Imprint: Oxford University Press
Publisher: Oxford University Press
Publish Date: 27-Mar-2008
Country of Publication: United Kingdom
Books By Author Nick Chater
Empiricism and Language Learnability, Paperback (July 2015)
This book explores one of the central theoretical problems in linguistics: learnability. Written by four researchers in linguistics, psychology, computer science, and cognitive science, it sheds light on the problems of learnability and language, and their implications for key theoretical linguistics and the study of language acquisition.
Cognition and Conditionals, Hardback (April 2010)
The conditional, if...then, is probably the most important term in natural language and forms the core of systems of logic and mental representation. Cognition and Conditionals is the first volume for over 20 years that brings together recent developments in the cognitive science and psychology of conditional reasoning.
Bayesian Rationality, Hardback (February 2007)» View all books by Nick Chater
Suggesting that the Western conception of the mind as a logical system is flawed, this work re-appraises the conventional wisdom in the psychology of reasoning. It argues that cognition should be understood in terms of probability theory, the calculus of uncertain reasoning, rather than in terms of logic, the calculus of certain reasoning.
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Author Biography - Nick Chater
Nick Chater is Professor of Cognitive and Decision Sciences at University College London. He has an M.A. in Psychology from Cambridge University, and a PhD in Cognitive Science from Edinburgh. He has held academic appointments at Edinburgh, Oxford, and Warwick Universities. His research focussed on attempting to find general principles that may be applicable across many cognitive domains, ranging from reasoning and decision making, to language acquisition and processing, to perception and categorization. Since the late 1980s, in collaboration with Mike Oaksford, he has been interested in the application of probabilistic and information-theoretic methods for understanding human reasoning. Mike Oaksford is Professor of Psychology and Head of School at Birkbeck College London. He was a research fellow at the Centre for Cognitive Science, University of Edinburgh, he was then lecturer at the University of Wales, Bangor, and senior lecturer at the University of Warwick, before moving to Cardiff University in 1996 as Professor of Experimental Psychology, a post he held until 2005. His research interests are in the area of human reasoning and decision making. In particular, with his colleague Nick Chater, he has been developing a Bayesian probabilistic approach to deductive reasoning tasks. According to this approach reasoning "biases" are the result of applying the wrong normative model and failing to take account of people's normal environment. He also studies the way the emotions affect and interact with reasoning and decision making processes.
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