Rational models of cognition

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Bibliographic Information

Rational models of cognition

edited by Mike Oaksford and Nick Chater

Oxford University Press, 1998

  • : hardcover

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Includes bibliographical references and index

Description and Table of Contents

Description

This book explores a new approach to understanding the human mind - rational analysis - that regards thinking as a facility adapted to the structure of the world. This approach is most closely associated with the work of John R Anderson, who published the original book on rational analysis in 1990. Since then, a great deal of work has been carried out in a number of laboratories around the world, and the aim of this book is to bring this work together for the benefit of the general psychological audience. The book contains chapters by some of the world's leading researchers in memory, categorisation, reasoning, and search, who show how the power of rational analysis can be applied to the central question of how humans think. It will be of interest to students and researchers in cognitive psychology, cognitive science, and animal behaviour.

Table of Contents

  • 1. An introduction to rational models of cognition
  • Section 1: General Issues
  • 2. Connectionist models and Bayesian inference
  • 3. Normative and descriptive models of decision making: time discounting and risk sensitivity
  • Section 2: Memory
  • 4. The effectiveness of retrieval from memory
  • 5. Predictions of a Bayesian recognition memory model (and a class of mdels including it)
  • 6. Cueing for context: an alternative to global matching models of recognition memory
  • 7. Sorting out core memory processes
  • 8. Rational and non-rational aspects of forgetting
  • 9. Adaptive analysis of sequential behaviour: oscillators as rational mechanisms
  • Section 3: Categorization & Induction
  • 10. The rational analysis of categorization and the ACT-R architecture
  • 11. Optimum performance and exemplar models of classificaiton
  • 12. A Bayesian analysis of some forms of inductive reasoning
  • 13. Dynamics of dimension weight distribution and flexibility in categorization
  • Section 4: Reasoning
  • 14. Causal mechanism and probability: a normative approach
  • 15. The rational analysis of human contingency judgement
  • 16. Rationality assumption of game theory and the backward induction paradox
  • 17. A revised rational analysis of the selection task: exceptions and sequential sampling
  • 18. Rational analysis of causal conditionals and the selection task
  • 19. The practice of mathematics and science: from calculus to the clothesline problem
  • Section 5: Search
  • 20. The rational analysis of inquiry: the case of parsing
  • 21. Rational analysis of exploratory choice
  • 22. Rationality as optimised cognitive self-regulation

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