Bayesian Rationality
The probabilistic approach to human reasoning
Published on 22. February 2007
Book
Paperback/Softback
352 pages
978-0-19-852449-6 (ISBN)
Description
Are people rational? This question was central to Greek thought and has been at the heart of psychology and philosophy for millennia. This book provides a radical and controversial reappraisal of conventional wisdom in the psychology of reasoning, proposing that the Western conception of the mind as a logical system is flawed at the very outset. 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.
Reviews / Votes
Oaksford and Chater make a very strong case in favour of a probabilistic view of human reasoning. This publication in therefore highly recommended to any cognitive psychologists, and particularly to master's or doctoral students doing research in this field. * The Psychologist, * Oaksford and Chater have been at the center of a major reconceptualization of how humans reason. This book explains the deep reasons for this new approach and provides an excellent summary of their work. * Professor John R. Anderson, Carnegie Mellon University, USA * Oaksford and Chater convincingly argue that rationality in the real world cannot be reduced to logical thinking and demonstrate how apparently logical problems can instead be reconstructed in a probabilistic way. This is an important step towards the ultimate goal of understanding the heuristic mechanisms underlying behavior. An excellent book on a Bayesian approach to cognition. * Professor Gerd Gigerenzer, Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Germany * For years, Oaksford and Chater have taken a maverick approach to the analysis of human reasoning, applying probabilistic ideas to construct radically new interpretations of what people are doing when they reason and whether or not those actions are rational. The field has started to follow Oaksford and Chater's lead; probabilistic concepts are becoming central to all areas of cognitive science. In this book, Oaksford and Chater offer an exceptionally lucid and 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 *More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Target group
College/higher education
Professional and scholarly
Illustrations
24 figures
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 19 mm
Weight
521 gr
ISBN-13
978-0-19-852449-6 (9780198524496)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
02/2007
Oxford University Press
€150.50
Shipment within 15-20 days
Persons
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.
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.
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.
Content
1. Logic and the Western conception of mind ; 2. Rationality and rational analysis ; 3. Reasoning in the the real world: how much deduction is there? ; 4. The probabilistic turn ; 5. Does the exception prove the rule? How people reason with conditionals ; 6. Being economical with the evidence: collecting data and testing hypotheses ; 7. An uncertain quantity: how people reason with syllogisms ; 8. The rational analysis of mind: a dialogue