Skip to main content
Springer Nature Link
Log in

Multi-Agent and Multi-Agent-Based Simulation

Joint Workshop MABS 2004

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Paul Davidsson

    1. Department of Systems and Software Engineering, School of Engineering, Blekinge Institute of Technology, Ronneby, Sweden

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Brian Logan

    1. School of Computer Science, University of Nottingham, Nottingham, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Keiki Takadama

    1. Tokyo Institute of Technology, tokyo, Japan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: MABS 2004.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

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 relativelysimple agents which focus more on the interactions between agents.

Similar content being viewed by others

Keywords

Table of contents (20 papers)

  1. Front Matter

    Download chapter PDF

  2. Simulation of Multi-agent Systems

    1. Smooth Scaling Ahead: Progressive MAS Simulation from Single PCs to Grids

      • Les Gasser, Kelvin Kakugawa, Brant Chee, Marc Esteva
      Pages 1-10

    2. Agent Communication in Distributed Simulations

      • Fang Wang, Stephen John Turner, Lihua Wang
      Pages 11-24

    3. Distributed Simulation of MAS

      • Michael Lees, Brian Logan, Rob Minson, Ton Oguara, Georgios Theodoropoulos
      Pages 25-36

    4. Extending Time Management Support for Multi-agent Systems

      • Alexander Helleboogh, Tom Holvoet, Danny Weyns, Yolande Berbers
      Pages 37-48

    5. Designing and Implementing MABS in AKIRA

      • Giovanni Pezzulo, Gianguglielmo Calvi
      Pages 49-64

  3. Technique and Technology

    1. Work-Environment Analysis: Environment Centric Multi-agent Simulation for Design of Socio-technical Systems

      • Anuj P. Shah, Amy R. Pritchett
      Pages 65-77

    2. Layering Social Interaction Scenarios on Environmental Simulation

      • Daisuke Torii, Toru Ishida, Stéphane Bonneaud, Alexis Drogoul
      Pages 78-88

    3. Change Your Tags Fast! – A Necessary Condition for Cooperation?

      • David Hales
      Pages 89-98

    4. Users Matter: A Multi-agent Systems Model of High Performance Computing Cluster Users

      • Michael J. North, Cynthia S. Hood
      Pages 99-113

    5. Formal Analysis of Meeting Protocols

      • Catholijn M. Jonker, Martijn Schut, Jan Treur, Pınar Yolum
      Pages 114-129

  4. Methodology and Modelling

    1. From KISS to KIDS – An ‘Anti-simplistic’ Modelling Approach

      • Bruce Edmonds, Scott Moss
      Pages 130-144

    2. Analysis of Learning Types in an Artificial Market

      • Kiyoshi Izumi, Tomohisa Yamashita, Koichi Kurumatani
      Pages 145-158

    3. Toward Guidelines for Modeling Learning Agents in Multiagent-Based Simulation: Implications from Q-Learning and Sarsa Agents

      • Keiki Takadama, Hironori Fujita
      Pages 159-172

  5. Social Dynamics

    1. Agent-Based Modelling of Forces in Crowds

      • Colin M. Henein, Tony White
      Pages 173-184

    2. An Investigation into the Use of Group Dynamics for Solving Social Dilemmas

      • Tomohisa Yamashita, Kiyoshi Izumi, Koichi Kurumatani
      Pages 185-194

  6. Applications

    1. ASAP: Agent-Based Simulator for Amusement Park

      • Kazuo Miyashita
      Pages 195-209

    2. Patchiness and Prosociality: An Agent-Based Model of Plio/Pleistocene Hominid Food Sharing

      • L. S. Premo
      Pages 210-224

    3. Plant Disease Incursion Management

      • Lisa Elliston, Ray Hinde, Alasebu Yainshet
      Pages 225-235

    4. A Hybrid Micro-Simulator for Determining the Effects of Governmental Control Policies on Transport Chains

      • Markus Bergkvist, Paul Davidsson, Jan A. Persson, Linda Ramstedt
      Pages 236-247
Back to top

Other volumes

  1. Multi-Agent and Multi-Agent-Based Simulation

Editors and Affiliations

  • Department of Systems and Software Engineering, School of Engineering, Blekinge Institute of Technology, Ronneby, Sweden

    Paul Davidsson

  • School of Computer Science, University of Nottingham, Nottingham, UK

    Brian Logan

  • Tokyo Institute of Technology, tokyo, Japan

    Keiki Takadama

Bibliographic Information

Publish with us

Policies and ethics

Back to top