Artificial Intelligence and Creativity

1. Front Matter

   Pages i-xiv

   PDF

2. Prologue

   1. Front Matter

      Pages 1-1

      PDF

   2. Creativity and Computers

      • Margaret Boden

      Pages 3-26

3. Foundational Issues

   1. Front Matter

      Pages 27-27

      PDF

   2. Introduction: On Having a Mind of Your Own

      • Terry Dartnall

      Pages 29-42

   3. Creativity, Thought and Representational Redescription

      • Terry Dartnall

      Pages 43-62

   4. Connectionism and Cognitive Flexibility

      • Andy Clark

      Pages 63-79

   5. Re-Representation and Emergent Information in Three Cases of Problem Solving

      • Donald Peterson

      Pages 81-92

   6. Psychological Issues in Modelling Creativity

      • Roger Wales, Stephanie Thornton

      Pages 93-105

   7. Gödel’s Theorem and Creativity

      • Graham Priest

      Pages 107-115

   8. Machine Predictability Versus Human Creativity

      • Richard McDonough

      Pages 117-135

4. Creativity and Cognition

   1. Front Matter

      Pages 137-137

      PDF

   2. Introduction: Creativity and Cognition

      • Graeme S. Halford, Robert Levinson

      Pages 139-144

   3. Tensor Models

      • J. Wiles, G. S. Halford, J. E. M. Stewart, M. S. Humphreys, W. H. Wilson, J. D. Bain

      Pages 145-159

   4. Experience-Based Creativity

      • Robert Levinson

      Pages 161-179

   5. Creative Proof Planning

      • Toby Walsh

      Pages 181-193

   6. Clues to Creativity

      • Maurita Harney

      Pages 195-208

5. Creativity and Connectionism

   1. Front Matter

      Pages 209-209

      PDF

   2. Introduction: Creativity, Connectionism and Guided Walks

      • Chris Thornton

      Pages 211-215

   3. Creativity, Chaos and Artificial Intelligence

      • Anthony Dekker, Paul Farrow

      Pages 217-231

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.

• Connectionism
• Creativity
• Evolution
• Memory
• Mind
• Prolog
• Thought
• artificial intelligence
• artificial life
• cognition
• cognitive science
• intelligence
• modeling
• philosophy
• problem solving

• Computing and Information Technology, Griffith University, Brisbane, Australia

  Terry Dartnall

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