Multi-Agent-Based Simulation XI

International Workshop, MABS 2010, Toronto, Canada, May 11, 2010, Revised Selected Papers

  • Tibor Bosse
  • Armando Geller
  • Catholijn M. Jonker
Conference proceedings MABS 2010

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6532)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6532)

Table of contents

  1. Front Matter
  2. Models and Frameworks for MAS Development

    1. Fabien Michel, Jacques Ferber, Pierre-Alain Laur, Florian Aleman
      Pages 1-15
    2. Gildas Morvan, Alexandre Veremme, Daniel Dupont
      Pages 16-27
  3. Exploring MAS Behaviors

    1. H. Van Dyke Parunak
      Pages 44-60
  4. Game Theory and Information Sharing

    1. Eugen Staab, Martin Caminada
      Pages 76-92
    2. Sharmila Savarimuthu, Maryam Purvis, Martin Purvis, Bastin Tony Roy Savarimuthu
      Pages 93-107
    3. David L. Sallach, Michael J. North, Eric Tatara
      Pages 108-120
  5. MAS in Economics and Negotiation

    1. Shu-Heng Chen, Michael Kampouridis, Edward Tsang
      Pages 121-135
    2. Gert Jan Hofstede, Catholijn M. Jonker, Tim Verwaart
      Pages 136-151
    3. René Jordan, Mark Birkin, Andrew Evans
      Pages 152-166
  6. Back Matter

About these proceedings


This volume contains a selection of the papers presented at the 11th International Workshop on Multi-Agent-Based Simulation (MABS 2010), a workshop co-located with the 9th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), which was held on May 10-14, 2010 in Toronto, Canada. The 11 revised full papers presented were carefully reviewed and selected from 26 submissions. The workshop has been an important source of inspiration for the body of knowledge that has been produced in the field of Multi-Agent Systems (MAS). As illustrated by this volume, the workshop continues to bring together researchers interested in MAS engineering with researchers focused on finding efficient ways to model complex social systems in social, economic and organizational areas. In all these areas, agent theories, metaphors, models, analyses, experimental designs, empirical studies, and methodological principles all converge into simulation as a way of achieving explanations and predictions, exploring and testing hypotheses, and producing better designs and systems.


MABS agent simulation agent societies agent-based simulation agent-based systems economic simulation environment modeling evolutionary search game theory information sharing multi-agent simulation multi-agent systems self organization social modeling social simulation urban modeling visual programming

Editors and affiliations

  • Tibor Bosse
    • 1
  • Armando Geller
    • 2
  • Catholijn M. Jonker
    • 3
  1. 1.Faculty of Sciences, Department of Artificial IntelligenceVrije Universiteit AmsterdamAmsterdamThe Netherlands
  2. 2.Krasnow Institute for Advanced Study, Center for Social ComplexityGeorge Mason UniversityFairfaxUSA
  3. 3.Department of Mediametics, Faculty of Electrical Engineering, Mathematics and Computer ScienceDelft University of TechnologyDelftThe Netherlands

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