Artificial Intelligence and Creativity: An Interdisciplinary Approach

444 Pages·1994·11.29 MB·English

by  Margaret Boden (auth.)

ARTIFICIAL INTELLIGENCE AND CREATIVITY
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 ofA rizona
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.
To
Fay
TABLE OF CONTENTS
SERIES PREFACE xi
FOREWORD xiii
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 Informa-
tion 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 139
vii
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 Creative Design
Processes 269
LEILA ALEM, MARY LOU MAHER I A Model of Creative
Design Using a Genetic Metaphor 283
GERHARD SCHMITT, SHEN-GUAN SHIH I Lateral Translation
in Design 295
SUBRATA DASGUPTA I Creativity, Invention and the Computa-
tional Metaphor: Prolegomenon to a Case Study 309
ix
PART V / HUMAN CREATIVITY ENHANCEMENT
ERNEST EDMONDS / Introduction: Computer-based Systems that
Support Creativity 327
ERNEST EDMONDS / Cybernetic Serendipity Revisited 335
GERHARD FISCHER, KUMIYO NAKAKOJI / Amplifying
Designers' Creativity with Domain-Oriented Design Environ-
ments 343
TOM RICHARDS, L YN RICHARDS / Creativity in Social
Sciences: the Computer Enhancement of Qualitative Data
Analysis 365
MIKE SHARPLES / Cognitive Support and the Rhythm of Design 385
EPILOGUE
DOUGLAS HOFSTADTER / How Could a Copycat ever be
Creative? 405
INDEX OF NAMES 425
INDEX OF SUBJECTS 435
SERIES PREFACE
This series will include monographs and collections of studies devoted to the inves
tigation and exploration of knowledge, information, and data-processing systems
of all kinds, no matter whether human, (other) animal, or machine. Its scope is in
tended to span the full range of interests from classical problems in the philosophy
of mind and philosophical psychology through issues in cognitive psychology and
sociobiology (concerning the mental capabilities of other species) to ideas related
to artificial intelligence and computer science. While primary emphasis will be
placed upon theoretical, conceptual, and epistemological aspects of these problems
and domains, empirical, experimental, and methodological studies will also appear
from time to time.
Skeptics who wonder whether creativity can be encompassed by computational
models of the mind should find much to consider in the present volume. Although
critical reservations are in evidence, the dominant themes of these papers suggest
that even creative acts are amenable to mechanistic analysis. Both symbolic AI and
connectionism are covered here, including several case studies of machine-based
creativity. The broad interdisciplinary character of cognitive science, moreover,
finds expression in studies that range over art, design, learning, problem-solving
and analogical reasoning, which are explored from the perspectives of philosophy,
psychology, and AI. The outcome is a fine collection of fascinating studies that
deepen our understanding of the human mind.
J. H. F.
xi