Advanced Intelligent Paradigms in Computer Games

1. Front Matter

   Pages i-vii

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2. COMMONS GAME Made More Exciting by an Intelligent Utilization of the Two Evolutionary Algorithms

   • Norio Baba, Hisashi Handa

   Pages 1-16

3. Adaptive Generation of Dilemma-based Interactive Narratives

   • Heather Barber, Daniel Kudenko

   Pages 19-37

4. Computational Intelligence in Racing Games

   • Julian Togelius, Simon M. Lucas, Renzo De Nardi

   Pages 39-69

5. Evolutionary Algorithms for Board Game Players with Domain Knowledge

   • Kyung-Joong Kim, Sung-Bae Cho

   Pages 71-89

6. The ChessBrain Project — Massively Distributed Chess Tree Search

   • Colin Frayn, Carlos Justiniano

   Pages 91-115

7. Designing and Developing Electronic Market Games

   • Maria Fasli, Michael Michalakopoulos

   Pages 117-151

8. EVE's Entropy: A Formal Gauge of Fun in Games

   • Kevin Burns

   Pages 153-173

9. Capturing Player Enjoyment in Computer Games

   • Georgios N. Yannakakis, John Hallam

   Pages 175-201

The evolution of technologies has greatly changed the basic structure of our industry and nature of our daily lives. Industries which did not exist several decades ago have made remarkable progress in recent years and ?ourished. One of the most typical examples is the computer game industry. This book presents a sample of the most recent research concerning the application of computational intelligence techniques and internet technology in computer games. This book contains eight chapters. The ?rst chapter, by N. Baba and H. Handa, is on utilization of evolutionary algorithms to increase excitement of the COMMONS GAME. It is shown that the original COMMONS GAME which is one of the most popular environmental games has been made much more exciting by the intelligent utilization of the two evolutionary algorithms. The second chapter, by H. Barber and D. Kudenko, is on adaptive g- eration of dilemma-based interactive narratives. In this chapter, they present an interactive narrative generator that can create story lines that incorporate dilemmas to add dramatic tension. They also brie?y touch upon the pos- bility that their work could provide a useful tool for making dramatically interesting game playing possible. The third chapter, by J. Tongelius, S.M. Lucas, and R.D. Nardi, is on computational intelligence (CI) in racing games. The authors suggest that CI techniques can be used for various purposes such as controller evolution for the racing and track evolution for a pro?cient player.

• Computer Games
• Intelligent Paradigms and their Applications
• Layer
• algorithm
• algorithms
• computational intelligence
• evolution
• evolutionary algorithm
• intelligence
• layers

• Osaka Kyoiku University, Osaka, Japan

  Norio Baba

• University of South Australia, Adelaide, Australia

  Lakhmi C. Jain

• Okayama University, Okayama, Japan

  Hisashi Handa

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