Artificial Intelligence and Creativity: An Interdisciplinary Approach - Studies in Cognitive Systems 1994 edition

Marc Notes: Includes bibliographical references and indexes. Table of Contents: Series Preface. Foreword. Prologue. Creativity and Computers; M. Boden. Part I: Foundational Issues. Introduction: On Having a Mind of Your Own; T. Dartnall. Creativity, Thought and Representational Redescription; T. Dartnall. Connectionism and Cognitive Flexibility; A. Clark. Re-representation and Emergent Information in Three Cases of Problem Solving; D. Peterson. Psychological Issues in Modelling Creativity; R. Wales, S. Thornton. Godel's Theorem and Creativity; G. Priest. Machine Predictability Versus Human Creativity; R. McDonough. Part 2: Creativity and Cognition. Introduction: Creativity and Cognition; G. S. Halford, R. Levinson. Tensor Models: A Creative Basis for Memory Retrieval and Analogical Mapping; J. Wiles, G. S. Halford, J. E. M. Stewart, M. S. Humphreys, J. D. Bain, W. H. Wilson. Experience-Based Creativity; R. Levinson. Creative Proof Planning; T. Walsh. Clues to Creativity; M. Harney. Part 3: Creativity and Connectionism. Introduction: Creativity, Connectionism and Guided Walks; C. Thornton. Creativity, Chaos and Artificial Intelligence; A. Dekker, P. Farrow. The Evolution of Connectionist Networks; Xin Yao. Why Connectionist Learning Algorithms Need to be More Creative; C. Thornton. Part 4: Creativity and Design. Introduction: Creativity and Design; J. S. Gero. Computational Models of Creative Design Processes; J. S. Gero. A Model of Creative Design Using a Genetic Metaphor; L. Alem, M. L. Maher. Lateral Translation in Design; G. Schmitt, Shen-Guan Shih. Creativity, Invention and the Computational Metaphor: Prolegomenon to a Case Study; S. Dasgupta. Part 5: HumanCreativity Enhancement. Introduction: Computer-Based Systems that Support Creativity; E. Edmonds. Cybernetic Serendipity Revisited; E. Edmonds. Amplifying Designers' Creativity with Domain-Oriented Design Environments; G. Fischer, K. Nakakoji. Creativity in Social Sciences: the Computer Enhancement of Qualitative Data Analysis; T. Richards, L. Richards. Cognitive Support and the Rhythm of Design; M. Sharples. Epilogue. How Could a Copycat ever be Creative? D. Hofstadter. Index of Names. Index of Subjects."Publisher Marketing: 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 cognitive science, but also in psychology, philosophy, computer science, logic, mathematics, sociology, and architecture and design. This volume brings this work together and provides an overview of this rapidly developing field. It addresses a range of issues. Can computers be creative? Can they help us to understand human creativity? How can artificial intelligence (AI) enhance human creativity? How, in particular, can it contribute to the sciences of the artificial', such as design? Does the new wave of AI (connectionism, geneticism and artificial life) offer more promise in these areas than classical, symbol-handling AI? What would the implications be for AI and cognitive science if computers could not be creative? These issues are explored in five interrelated parts, each of which is introducted and explained by a leading figure in the field. - Prologue (Margaret Boden) - Part I: Foundational Issues (Terry Dartnall) - Part II: Creativity and Cognition (Graeme S. Halford and Robert Levinson) - Part III: Creativity and Connectionism (Chris Thornton) - Part IV: Creativity and Design (John Gero) - Part V: Human Creativity Enhancement (Ernest Edmonds) - Epilogue (Douglas Hofstadter) For researchers in AI, cognitive science, computer science, philosophy, psychology, mathematics, logic, sociology, and architecture and design; and anyone interested in the rapidly growing field of artificial intelligence and creativity.

Contributor Bio:  Dartnall, Terry tERRY DARTNALL is senior lecturer in the School of Computing and Information Technology at Griffith University, Brisbane, where he teaches Artificial Intelligence and logic. His main research is in the foundations of Artificial Intelligence and cognitive science, and the related areas of philosophy.