Agent-Based Modeling Meets Gaming Simulation

  • Kiyoshi Arai
  • Hiroshi Deguchi
  • Hiroyuki Matsui
Part of the Springer Series on Agent Based Social Systems book series (ABSS, volume 2)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Hiroyuki Matsui, Kazuhisa Taniguchi, Yasuhiro Nakajima, Isao Ono, Hiroshi Sato, Naoki Mori et al.
    Pages 23-30
  3. Masato Kobayashi, Takao Terano
    Pages 49-58
  4. Yutaka I. Leon Suematsu, Keiki Takadama, Katsunori Shimohara, Osamu Katai, Kiyoshi Arai
    Pages 69-77
  5. Ruck Thawonmas, Ji-Young Ho, Yoshitaka Matsumoto
    Pages 79-88
  6. Jun Tanimoto, Haruyuki Fujii
    Pages 89-100
  7. Christian Buchta, David Meyer, Andreas Mild, Alexander Pfister, Alfred Taudes
    Pages 101-117
  8. Back Matter
    Pages 149-151

About this book

Introduction

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.

Keywords

Agent-Based Modeling Agent-Based Simulation Economics Nation Organization Theory Social Simulation modeling simulation

Editors and affiliations

  • Kiyoshi Arai
    • 1
  • Hiroshi Deguchi
    • 2
  • Hiroyuki Matsui
    • 3
  1. 1.Faculty of Social Systems ScienceChiba Institute of TechnologyNarashino, ChibaJapan
  2. 2.Interdisciplinary Graduate School of Science and EngineeringTokyo Institute of TechnologyYokohamaJapan
  3. 3.Graduate School of EconomicsKyoto UniversityKyotoJapan

Bibliographic information