Multi-Agent Based Simulation XVI

International Workshop, MABS 2015, Istanbul, Turkey, May 5, 2015, Revised Selected Papers

  • Benoit Gaudou
  • Jaime Simão Sichman
Conference proceedings MABS 2015

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9568)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9568)

Table of contents

  1. Front Matter
    Pages I-X
  2. Formalism Coupling in MABS

    1. Front Matter
      Pages 1-1
    2. Arnaud Banos, Nathalie Corson, Benoit Gaudou, Vincent Laperrière, Sébastien Rey Coyrehourcq
      Pages 19-33
  3. Validation and Verification in MABS

    1. Front Matter
      Pages 35-35
    2. Jan Drchal, Michal Čertický, Michal Jakob
      Pages 55-67
  4. High Performance Computing for MABS

    1. Front Matter
      Pages 69-69
    2. Diego Queiroz, Jaime Sichman
      Pages 87-105
  5. MABS Applications

    1. Front Matter
      Pages 107-107
    2. Arnaud Grignard, Guillaume Fantino, J. Wesley Lauer, Alexandre Verpeaux, Alexis Drogoul
      Pages 109-120
    3. Zülküf Genç, Michel Oey, Hendrik van Antwerpen, Frances Brazier
      Pages 121-131
    4. Banafsheh Hajinasab, Paul Davidsson, Jan A. Persson, Johan Holmgren
      Pages 132-145
    5. Quang Chi Truong, Patrick Taillandier, Benoit Gaudou, Minh Quang Vo, Trung Hieu Nguyen, Alexis Drogoul
      Pages 146-158
    6. James Archbold, Nathan Griffiths
      Pages 173-187
  6. Back Matter
    Pages 189-189

About these proceedings


This book constitutes the thoroughly refereed post-conference proceedings of the 16th International Workshop on Multi-Agent-Based Simulation, MABS 2015, held in Istanbul, Turkey, in May 2015. The workshop was held in conjunction with the 14th International Conference on Autonomous Agents and Multi-agent Systems, AAMAS 2015.

The 12 revised full papers included in this volume ware carefully selected from 22 submissions. The papers focus on the influence of social sciences and multi-agent systems, with a strong application/empirical vein, and its emphasis is stressed on exploratory agent based simulation as a principled way of undertaking scientific research in the social sciences and using social theories as an inspiration to new frameworks  and developments in multi-agent systems.


modeling and simulation multi-agent systems multiagent learning parallel processing Web services Additional Keywords agent architecture agent-based models cellular automata cognitive science distributed simulation formal methods human-environments interactions hybrid model multi-agent based simulation network resource sharing stochastic simulation testing verification visualization

Editors and affiliations

  • Benoit Gaudou
    • 1
  • Jaime Simão Sichman
    • 2
  1. 1.CapitoleUniversity Toulouse 1Toulouse Cedex 9France
  2. 2.Escola PolitécnicaUniversidade de Sao PauloSão PauloBrazil

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-31446-4
  • Online ISBN 978-3-319-31447-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site