Agent-Based Modeling Meets Gaming Simulation (Agent-Based Social Systems, 2)

Arai, K.; Deguchi, H.; Matsui, H.

ISBN 10: 4431294260 / ISBN 13: 9784431294269

Published by Springer, (New York, 2005), 2005

About this Item

Very Good, internally clean, solid hard cover without a dust jacket. Name in ink on endpaper.

Seller Inventory # 023503

Bibliographic Details

• Title: Agent-Based Modeling Meets Gaming Simulation (Agent-Based Social Systems, 2)
• Publisher: Springer, (New York, 2005)
• Publication Date: 2005
• Language: English
• ISBN 10: 4431294260
• ISBN 13: 9784431294269
• Binding: Hardcover
• Edition: 1st Edition
• Condition: Very Good
• Dust Jacket Condition: No Jacket
• Seller catalogs:
  • Medicine, Psychology
  • Science, Mathematics
  • Anthropolgy, Sociology, Folklore, Linguistics

About this title

Synopsis

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.