Bayesian Rationality : The probabilistic approach to human reasoning
than in terms of logic, the calculus of certain reasoning.
- Paperback | 352 pages
- 156 x 234 x 20mm | 536g
- 03 May 2007
- Oxford University Press
- Oxford, United Kingdom
- 24 figures
Other books in this series
Table of contents
compelling introduction to their own work and in the process provide an accessible introduction to a number of technical issues in reasoning. This book is a must for those interested in the latest theoretical ideas in the study of human reasoning. * Professor Steve Sloman, Brown University, USA * This fascinating book is the capstone of one of the most important and original programs of research on reasoning in the last twenty years. Oaksford and Chater argue persuasively that human thinking is best understood not in terms of how poorly it approximates the philosopher's norms of deductive logic, but rather in terms of how well it captures the more powerful and subtle principles of Bayesian probability. * Professor Josh Tenenbaum, Massachusetts Institute of Technology, USA *
About Mike Oaksford
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.
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.