Table of contents

  1. Front Matter
    Pages I-X
  2. Simulation Methodologies

    1. Front Matter
      Pages 1-1
    2. Ruth Meyer
      Pages 3-16
    3. İbrahim Çakırlar, Önder Gürcan, Oğuz Dikenelli, Şebnem Bora
      Pages 17-27
    4. Reza Hesan, Amineh Ghorbani, Virginia Dignum
      Pages 41-52
  3. Simulation of Social Behaviour

    1. Front Matter
      Pages 53-53
    2. Loïs Vanhée, Frank Dignum, Jacques Ferber
      Pages 55-71
    3. Gert Jan Hofstede, Frank Dignum, Rui Prada, Jillian Student, Loïs Vanhée
      Pages 72-87
    4. Francesca Giardini, Mario Paolucci, Diana Adamatti, Rosaria Conte
      Pages 104-118
  4. Data and Multi-agent-Based Simulation

    1. Front Matter
      Pages 119-119
    2. Bridgette Parsons, José M. Vidal, Nathan Huynh, Rita Snyder
      Pages 121-132
    3. Christophe Sibertin-Blanc, Nathalie Villa-Vialaneix
      Pages 133-150
    4. Nasser Gasmi, Arnaud Grignard, Alexis Drogoul, Benoit Gaudou, Patrick Taillandier, Olivier Tessier et al.
      Pages 151-163
  5. Applications

    1. Front Matter
      Pages 165-165
    2. Toshinori Niwa, Masaru Okaya, Tomoichi Takahashi
      Pages 167-179
    3. Christopher Frantz, Martin K. Purvis, Mariusz Nowostawski, Bastin Tony Roy Savarimuthu
      Pages 180-196
    4. Stefano Picascia, Bruce Edmonds, Alison Heppenstall
      Pages 213-227

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 15th International Workshop on Multi-Agent-Based Simulation, MABS 2014, held in Paris, France, in May 2014. The workshop was held in conjunction with the 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014.

The 17 revised full papers included in this volume were carefully selected from numerous submissions. The papers are organized in topical sections on simulation methodologies, simulation of social behaviour, data and multi-agent-based simulation and applications.

Keywords

Agent-Based Models Cognitive Science Distributed Simulation Intelligent Agents Modeling Modeling Methodologies Modeling and Simulation Multi-Agent Learning Multi-Agent Systems

Editors and affiliations

  • Francisco Grimaldo
    • 1
  • Emma Norling
    • 2
  1. 1.Universitat de ValènciaBurjassot-ValènciaSpain
  2. 2.Manchester Metropolitan UniversityManchesterUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-14627-0
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-14626-3
  • Online ISBN 978-3-319-14627-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book