Publisher's Synopsis
This book presents a number of experiments which examine three central difficulties of analogical problem solving: reviewing how analogous episodes are retrieved from memory when a particular problem is encountered, examining the analogical mapping processes which occur when the retrieved knowledge is applied to a target problem, and finally describing how a target problem may normally be solved. Heavily influenced by theories in Artificial Intelligence, the book draws on Wilensky's proposals on goal conflict situations, on Schank's dynamic memory theory, and on certain mapping aspects of Winston's work.;The author confronts these main issues in this interdisciplinary manner while drawing together (to apply AI theory to psychological content, and to collate) the suggestions and evidence of leading cognitive scientists in a logical and coherent way which is designed to act as a guide to future research, both in AI and Cognitive Science.