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Artificial Intelligence and Creativity : An Interdisciplinary Approach / edited by T. Dartnall.

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Format:
Book
Contributor:
Dartnall, T., Editor.
Series:
Studies in Cognitive Systems ; 17
Language:
English
Subjects (All):
Cognitive psychology.
Philosophy of mind.
Computational linguistics.
Cognitive Psychology.
Philosophy of Mind.
Computational Linguistics.
Local Subjects:
Cognitive Psychology.
Philosophy of Mind.
Computational Linguistics.
Physical Description:
1 online resource (XIV, 458 p.)
Edition:
1st ed. 1994.
Place of Publication:
Dordrecht : Springer Netherlands : Imprint: Springer, 1994.
Language Note:
English
Summary:
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.
Contents:
Prologue
Creativity and Computers
I / Foundational Issues
Introduction: On Having a Mind of Your Own
Creativity, Thought and Representational Redescription
Connectionism and Cognitive Flexibility
Re-representation and Emergent Information in Three Cases of Problem Solving
Psychological Issues in Modelling Creativity
Gödel’s Theorem and Creativity
Machine Predictability Versus Human Creativity
II / Creativity and Cognition
Introduction: Creativity and Cognition
Tensor Models: A Creative Basis for Memory Retrieval and Analogical Mapping
Experience-based Creativity
Creative Proof Planning
Clues to Creativity
III / Creativity and Connectionism
Introduction: Creativity, Connectionism and Guided Walks
Creativity, Chaos and Artificial Intelligence
The Evolution of Connectionist Networks
Why Connectionist Learning Algorithms Need to be More Creative
IV / Creativity and Design
Introduction: Creativity and Design
Computational Models of Creative Design Processes
A Model of Creative Design Using a Genetic Metaphor
Lateral Translation in Design
Creativity, Invention and the Computational Metaphor: Prolegomenon to a Case Study
V / Human Creativity Enhancement
Introduction: Computer-based Systems that Support Creativity
Cybernetic Serendipity Revisited
Amplifying Designers’ Creativity with Domain-Oriented Design Environments
Creativity in Social Sciences: the Computer Enhancement of Qualitative Data Analysis
Cognitive Support and the Rhythm of Design
Epilogue
How Could a Copycat ever be Creative?
Index of Names
Index of Subjects.
Notes:
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references at the end of each chapters and indexes.
ISBN:
94-017-0793-6

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