Multi-Agent and Multi-Agent-Based Simulation

Joint Workshop MABS 2004, New York, NY, USA, July 19, 2004, Revised Selected Papers

  • Paul Davidsson
  • Brian Logan
  • Keiki Takadama
Conference proceedings MABS 2004

DOI: 10.1007/b106991

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3415)

Table of contents

  1. Front Matter
  2. Simulation of Multi-agent Systems

    1. Les Gasser, Kelvin Kakugawa, Brant Chee, Marc Esteva
      Pages 1-10
    2. Fang Wang, Stephen John Turner, Lihua Wang
      Pages 11-24
    3. Michael Lees, Brian Logan, Rob Minson, Ton Oguara, Georgios Theodoropoulos
      Pages 25-36
    4. Alexander Helleboogh, Tom Holvoet, Danny Weyns, Yolande Berbers
      Pages 37-48
    5. Giovanni Pezzulo, Gianguglielmo Calvi
      Pages 49-64
  3. Technique and Technology

    1. Daisuke Torii, Toru Ishida, Stéphane Bonneaud, Alexis Drogoul
      Pages 78-88
    2. Catholijn M. Jonker, Martijn Schut, Jan Treur, Pınar Yolum
      Pages 114-129
  4. Methodology and Modelling

  5. Social Dynamics

    1. Colin M. Henein, Tony White
      Pages 173-184
    2. Tomohisa Yamashita, Kiyoshi Izumi, Koichi Kurumatani
      Pages 185-194
  6. Applications

    1. Kazuo Miyashita
      Pages 195-209
    2. Lisa Elliston, Ray Hinde, Alasebu Yainshet
      Pages 225-235
    3. Markus Bergkvist, Paul Davidsson, Jan A. Persson, Linda Ramstedt
      Pages 236-247

About these proceedings

Introduction

This volume presents revised and extended versions of selected papers presented at the Joint Workshop on Multi-Agent and Multi-Agent-Based Simulation, a workshop federated with the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), which was held in New York City, USA, July 19–23, 2004. The workshop was in part a continuation of the International Workshop on Multi-Agent-Based Simulation (MABS) series. - vised versions of papers presented at the four previous MABS workshops have been published as volumes 1534, 1979, 2581, and 2927 in the Lecture Notes in Arti?cial Intelligence series. The aim of the workshop was to provide a forum for work in both appli- tions of multi-agent-based simulation and the technical challenges of simulating large multi-agent systems (MAS). There has been considerable recent progress in modelling and analyzing multi-agent systems, and in techniques that apply MAS models to complex real-world systems such as social systems and organi- tions. Simulation is an increasingly important strand that weaves together this work. In high-risk, high-cost situations, simulations provide critical cost/bene?t leverage, and make possible explorations that cannot be carried out in situ: – Multi-agentapproachestosimulatingcomplexsystemsarekeytoolsinint- disciplinary studies of social systems. Agent-based social simulation (ABSS) researchsimulatesandsynthesizessocialbehaviorinordertounderstandreal social systems with properties of self-organization, scalability, robustness, and openness. – IntheMAScommunity,simulationhasbeenappliedtoawiderangeofMAS research and design problems, from models of complex individual agents - ploying sophisticated internal mechanisms to models of large-scale societies of relatively simple agents which focus more on the interactions between agents.

Keywords

Performance SAP Simulation agent societies agent-based model agent-based simulation agent-based systems communication distributed simulation learning multi-agent simulation multi-agent system multi-agent systems multiagent systems social modeling

Editors and affiliations

  • Paul Davidsson
    • 1
  • Brian Logan
    • 2
  • Keiki Takadama
    • 3
  1. 1.Department of Systems and Software Engineering, School of EngineeringBlekinge Institute of TechnologyRonnebySweden
  2. 2.School of Computer ScienceUniversity of NottinghamNottinghamUK
  3. 3.Tokyo Institute of TechnologytokyoJapan

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-25262-7
  • Online ISBN 978-3-540-32243-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349