Artificial Intelligence and Creativity

1. Creativity and Connectionism

   1. The Evolution of Connectionist Networks

      • Xin Yao

      Pages 233-243

   2. Why Connectionist Learning Algorithms Need to be More Creative

      • Chris Thornton

      Pages 245-255

2. Creativity and Design

   1. Front Matter

      Pages 257-257

      PDF

   2. Introduction: Creativity and Design

      • John S. Gero

      Pages 259-267

   3. Computational Models of Creative Design Processes

      • John S. Gero

      Pages 269-281

   4. A Model of Creative Design Using a Genetic Metaphor

      • Leila Alem, Mary Lou Maher

      Pages 283-293

   5. Lateral Translation in Design

      • G. Schmitt, S. Shih

      Pages 295-307

   6. Creativity, Invention and the Computational Metaphor: Prolegomenon to a Case Study

      • Subrata Dasgupta

      Pages 309-324

3. Human Creativity Enhancement

   1. Front Matter

      Pages 325-325

      PDF

   2. Introduction: Computer-Based Systems that Support Creativity

      • Ernest Edmonds

      Pages 327-334

   3. Cybernetic Serendipity Revisited

      • Ernest Edmonds

      Pages 335-342

   4. Amplifying Designers’ Creativity with Domain-Oriented Design Environments

      • Gerhard Fischer, Kumiyo Nakakoji

      Pages 343-364

   5. Creativity in Social Sciences

      • Tom Richards, Lyn Richards

      Pages 365-383

   6. Cognitive Support and the Rhythm of Design

      • Mike Sharples

      Pages 385-402

4. Epilogue

   1. Front Matter

      Pages 403-403

      PDF

   2. How Could a Copycat Ever be Creative?

      • Douglas Hofstadter

      Pages 405-424

5. Back Matter

   Pages 425-457

   PDF

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

Policies and ethics