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Human and Machine Problem Solving

  • K. J. Gilhooly

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Benedict du Boulay
    Pages 13-37
  3. Richard E. Mayer
    Pages 39-56
  4. M. R. B. Clarke
    Pages 57-81
  5. Dennis H. Holding
    Pages 83-122
  6. J. L. Alty
    Pages 123-160
  7. P. Reimann, M. T. H. Chi
    Pages 161-191
  8. R. A. Frost
    Pages 193-231
  9. Angus R. H. Gellatly
    Pages 233-264
  10. I. Bratko
    Pages 265-287
  11. Michael W. Eysenck
    Pages 289-315
  12. Back Matter
    Pages 373-382

About this book

Introduction

Problem solving is a central topic for both cognitive psychology and artificial intelligence (AI). Psychology seeks to analyze naturally occur­ ring problem solving into hypothetical processes, while AI seeks to synthesize problem-solving performance from well-defined processes. Psychology may suggest possible processes to AI and, in turn, AI may suggest plausible hypotheses to psychology. It should be useful for both sides to have some idea of the other's contribution-hence this book, which brings together overviews of psychological and AI re­ search in major areas of problem solving. At a more general level, this book is intended to be a contribution toward comparative cognitive science. Cognitive science is the study of intelligent systems, whether natural or artificial, and treats both organ­ isms and computers as types of information-processing systems. Clearly, humans and typical current computers have rather different functional or cognitive architectures. Thus, insights into the role of cognitive ar­ chitecture in performance may be gained by comparing typical human problem solving with efficient machine problem solving over a range of tasks. Readers may notice that there is little mention of connectionist ap­ proaches in this volume. This is because, at the time of writing, such approaches have had little or no impact on research at the problem­ solving level. Should a similar volume be produced in ten years or so, of course, a very different story may need to be told.

Keywords

Action Memory Problem Solving Processing algorithms artificial intelligence cognitive psychology cognitive science computer intelligence performance simulation time

Editors and affiliations

  • K. J. Gilhooly
    • 1
  1. 1.University of AberdeenUK

Bibliographic information