Advertisement

Multi-Agent-Based Simulation XIX

19th International Workshop, MABS 2018, Stockholm, Sweden, July 14, 2018, Revised Selected Papers

  • Paul Davidsson
  • Harko Verhagen
Conference proceedings MABS 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11463)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11463)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Amir Hosein Afshar Sedigh, Christopher K. Frantz, Bastin Tony Roy Savarimuthu, Martin K. Purvis, Maryam A. Purvis
    Pages 17-31
  3. James Archbold, Nathan Griffiths
    Pages 32-44
  4. André Jalbut, Jaime Simão Sichman
    Pages 45-58
  5. Doryan Kaced, Romain Mejean, Aurélien Richa, Benoit Gaudou, Mehdi Saqalli
    Pages 59-74
  6. Sean Luke, Robert Simon, Andrew Crooks, Haoliang Wang, Ermo Wei, David Freelan et al.
    Pages 75-86
  7. Nuno Trindade Magessi, Luis Antunes
    Pages 87-98
  8. Martin Mocko, Jakub Ševcech
    Pages 99-114
  9. Tahina Ralitera, Denis Payet, Nathan Aky, Rémy Courdier
    Pages 115-125
  10. Gabriel Santos, Tiago Pinto, Zita Vale
    Pages 126-137
  11. Back Matter
    Pages 153-153

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 19th International Workshop on Multi-Agent-Based Simulation, MABS 2019, held in Stockholm Sweden, in July 2018 as part of the Federated AI Meeting, FAIM 2018.

The 10 revised full papers included in this volume were carefully selected from 15 submissions. They focus on finding efficient solutions to model complex social systems in such areas as economics, management, and organisational and social sciences. In all these areas, agent theories, metaphors, models, analysis, experimental designs, empirical studies, and methodological principles, converge into simulation as a way of achieving explanations and predictions, exploration and testing of hypotheses, better designs and systems.

Keywords

agent based simulation artificial intelligence energy efficiency energy management human resource management information management information technology intelligent agents multi-agent Multi-Agent Systems (MAS) social networking wireless sensor networks wireless telecommunication systems

Editors and affiliations

  • Paul Davidsson
    • 1
  • Harko Verhagen
    • 2
  1. 1.Malmö UniversityMalmöSweden
  2. 2.Stockholm UniversityKistaSweden

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-22270-3
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-22269-7
  • Online ISBN 978-3-030-22270-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site