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

DOI: 10.1007/978-3-319-31447-1

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

Introduction

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.

Keywords

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

  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-31446-4
  • Online ISBN 978-3-319-31447-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349