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The 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.
This volume investigates the extent to which high-level cognitive processes can be modeled and explained through the application of Bayesian probabilistic frameworks. The authors, Mike Oaksford and Nick Chater, synthesize a decade of research following their previous work on rational models of cognition. They evaluate how statistical analysis of environmental data and advancements in Bayesian methodology provide a robust lens for understanding human reasoning, decision-making, and memory.
What You Will Find
Experts recognize this volume as a significant follow-up to foundational literature in the field of rational cognition. Readers frequently note the academic density of the prose, making it a specialized resource for researchers and students in psychology and philosophy.
Page Count:
534
Publication Date:
2008-06-02
Publisher:
Oxford University Press
ISBN-10:
0199216096
ISBN-13:
9780199216093
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