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Agent-Based Modeling Meets Gaming Simulation

  • Book
  • © 2005

Overview

Editors:
  1. Kiyoshi Arai

    1. Faculty of Social Systems Science, Chiba Institute of Technology, Narashino, Chiba, Japan

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    You can also search for this editor in PubMed   Google Scholar

  2. Hiroshi Deguchi

    1. Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Japan

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    You can also search for this editor in PubMed   Google Scholar

  3. Hiroyuki Matsui

    1. Graduate School of Economics, Kyoto University, Kyoto, Japan

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Agent-Based Social Systems (ABSS, volume 2)

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Table of contents (13 chapters)

  1. Front Matter

    Pages I-VIII
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  2. Agent-Based Modeling Meets Gaming Simulation: Perspective on Future Collaborations

    • Hiroshi Deguchi
    Pages 1-13

  3. A Horizon of Simulation and Gaming: Difficulties and Expectations of Facilitating Science, Technology, and Practice

    • Kiyoshi Arai
    Pages 15-21

  4. The U-Mart Project: New Research and Education Program for Market Mechanism

    • Hiroyuki Matsui, Kazuhisa Taniguchi, Yasuhiro Nakajima, Isao Ono, Hiroshi Sato, Naoki Mori et al.
    Pages 23-30

  5. The Gaming of Firm Strategy in High-Tech Industry: Human Agents and Artificial Intelligence Agents Intermingled in a Simulation Model

    • Hao Lee, Hiroshi Deguchi
    Pages 31-38

  6. Simulation Analysis Using the Garbage Can Model for Designing a Citizen Participation System for Comprehensive Municipal Planning

    • Toshiyuki Kaneda, Yasuhisa Hattori
    Pages 39-47

  7. Exploring Business Gaming Strategies by Learning Agents

    • Masato Kobayashi, Takao Terano
    Pages 49-58

  8. Business Simulator Development Cycle with Both Human and Computer Players

    • Akemi Morikawa, Takao Terano
    Pages 59-67

  9. Analyzing Barnga Gaming Simulation Using an Agent-Based Model

    • Yutaka I. Leon Suematsu, Keiki Takadama, Katsunori Shimohara, Osamu Katai, Kiyoshi Arai
    Pages 69-77

  10. User Type Identification in Virtual Worlds

    • Ruck Thawonmas, Ji-Young Ho, Yoshitaka Matsumoto
    Pages 79-88

  11. A Model for Collusive Tendering Based on a Multiagent Approach

    • Jun Tanimoto, Haruyuki Fujii
    Pages 89-100

  12. An Agent-Based Simulation Model of Disruptive Technologies

    • Christian Buchta, David Meyer, Andreas Mild, Alexander Pfister, Alfred Taudes
    Pages 101-117

  13. Agent-Based Simulation on the Diffusion of Research and Development for Environmentally Conscious Products

    • Keiko Zaima
    Pages 119-138

  14. Evaluation of the Dealings Form in an Artificial Fruit and Vegetable Market II

    • Suguru Tsujioka, Kohji Yamamoto
    Pages 139-147

  15. Back Matter

    Pages 149-151
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Keywords

About this book

This collection of excellent papers cultivates a new perspective on agent-based social system sciences, gaming simulation, and their hybridization. Most of the papers included here were presented in the special session titled Agent-Based Modeling Meets Gaming Simulation at ISAGA2003, the 34th annual conference of the International Simulation and Gaming Association (ISAGA) at Kazusa Akademia Park in Kisarazu, Chiba, Japan, August 25–29, 2003. This post-proceedings was supported by the twenty-?rst century COE (Centers of Excellence) program Creation of Agent-Based Social Systems Sciences (ABSSS), established at the Tokyo Institute of Technology in 2004. The present volume comprises papers submitted to the special session of ISAGA2003 and provides a good example of the diverse scope and standard of research achieved in simulation and gaming today. The theme of the special session at ISAGA2003 was Agent-Based Modeling Meets Gaming Simulation. Nowadays, agent-based simulation is becoming very popular for modeling and solving complex social phenomena. It is also used to arrive at practical solutions to social problems. At the same time, however, the validity of simulation does not exist in the magni?cence of the model. R. Axelrod stresses the simplicity of the agent-based simulation model through the “Keep it simple, stupid” (KISS) principle: As an ideal, simple modeling is essential.

Editors and Affiliations

  • Faculty of Social Systems Science, Chiba Institute of Technology, Narashino, Chiba, Japan

    Kiyoshi Arai

  • Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Japan

    Hiroshi Deguchi

  • Graduate School of Economics, Kyoto University, Kyoto, Japan

    Hiroyuki Matsui

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