Artificial Intelligence and Creativity An Interdisciplinary Approach
Creativity is one of the least understood aspects of intelligence and is often seen as `intuitive' and not susceptible to rational enquiry. Recently, however, there has been a resurgence of interest in the area, principally in artificial intelligence and
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STUDIES IN COGNITIVE SYSTEMS VOLUME 17 EDITOR
James H. Fetzer, University of Minnesota, Duluth ADVISORY EDITORIAL BOARD
Fred Dretske, Stanford University Ellery Eells, University of Wisconsin, Madison Alick Elithorn, Royal Free Hospital, London Jerry Fodor, Rutgers University Alvin Goldman, University of Arizona Jaakko Hintikka, Boston University Frank Keil, Cornell University William Rapaport, State University of New York at Buffalo Barry Richards, Imperial College, London Stephen Stich, Rutgers University Lucia Vaina, Boston University Terry Winograd, Stanford University
The titles published in this series are listed at the end of this volume.
ARTIFICIAL INTELLIGENCE AND CREATIVITY An Interdisciplinary Approach Edited by TERRY DARTNALL Computing and Information Technology, Griffith University, Brisbane, Australia
SPRINGER-SCIENCE+BUSINESS MEDIA, B.V.
A C.I.P. Catalogue record for this book is available from the Library of Congress.
ISBN 978-90-481-4457-0 ISBN 978-94-017-0793-0 (eBook) DOI 10.1007/978-94-017-0793-0
Printed on acid-free paper Ali Rights Reserved © 1994 Springer Science+Business Media Dordrecht Originally published by Kluwer Academic Publishers in 1994 No part of the material protected by this copyright notice may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording or by any information storage and retrieval system, without written permission from the copyright owner.
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TABLE OF CONTENTS
xi
SERIES PREFACE
xiii
FOREWORD PROLOGUE MARGARET BODEN / Creativity and Computers
3
PART I / FOUNDATIONAL ISSUES TERRY DARTNALL / Introduction: On Having a Mind of Your Own
29
TERRY DARTNALL / Creativity, Thought and Representational Redescription
43
ANDY CLARK / Connectionism and Cognitive Flexibility
63
DONALD PETERSON / Re-representation and Emergent Information in Three Cases of Problem Solving
81
ROGER WALES, STEPHANIE THORNTON / Psychological Issues in Modelling Creativity
93
GRAHAM PRIEST / GOdel's Theorem and Creativity
107
RICHARD McDONOUGH / Machine Predictability Versus Human Creativity
117
PART II / CREATIVITY AND COGNITION GRAEME S. HALFORD, ROBERT LEVINSON / Introduction: Creativity and Cognition
vii
139
viii JANET WILES, GRAEME S. HALFORD, JULIE E. M. STEWART, MICHAEL S. HUMPHREYS, JOHN D. BAIN, WILLIAM H. WILSON I Tensor Models: A Creative Basis for Memory Retrieval and Analogical Mapping
145
ROBERT LEVINSON I Experience-based Creativity
161
TOBY WALSH I Creative Proof Planning
181
MAURITA HARNEY I Clues to Creativity
195
PART III I CREATIVITY AND CONNECTIONISM CHRIS THORNTON I Introduction: Creativity, Connectionism and Guided Walks
211
ANTHONY DEKKER, PAUL FARROW I Creativity, Chaos and Artificial Intelligence
217
XIN YAO I The Evolution of Connectionist Networks
233
CHRIS THORNTON I Why Connectionist Learning Algorithms Need to be More Creative
245
PART IV I CREATIVITY AND DESIGN JOHN S. GERO I Introduction: Creativity and Design
259
JOHN S. GERO I Computational Models of
