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Multi-Agent Based Simulation XVII

International Workshop, MABS 2016, Singapore, Singapore, May 10, 2016, Revised Selected Papers

  • Luis Gustavo Nardin
  • Luis Antunes
Conference proceedings MABS 2016

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10399)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10399)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Architectures, Methods and Methodologies

    1. Front Matter
      Pages 1-1
    2. Patrick Taillandier, Mathieu Bourgais, Philippe Caillou, Carole Adam, Benoit Gaudou
      Pages 3-23
    3. Nidhi Parikh, Madhav Marathe, Samarth Swarup
      Pages 71-91
  3. MABS Applications

    1. Front Matter
      Pages 93-93
    2. Damien Philippon, Marc Choisy, Alexis Drogoul, Benoit Gaudou, Nicolas Marilleau, Patrick Taillandier et al.
      Pages 111-127
    3. Muhammad Tufail, Frans Coenen, Tintin Mu
      Pages 128-140
    4. Paola A. Avendaño, Newton N. Marube, Diana F. Adamatti, Jeferson A. Souza
      Pages 141-153
  4. Back Matter
    Pages 155-155

About these proceedings

Introduction

This book constitutes the thoroughly refereed post-conference proceedings of the 17th International Workshop on Multi-Agent-Based Simulation, MABs 2016, held in Singapore, in May 2016. The workshop was held in Conjunction with the 15th International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2016. The 10 revised full papers included in this volume were carefully selected from 15 submissions. The topic of the papers is about modeling and analyzing multi-agent systems and applying agent-based  simulation techniques to real-world problems, focusing on the confluence of socio-technical- natural sciences and multi-agents systems with a strong application/empirical vein. Special emphasis is given on exploratory agent-based simulation as a principled way of undertaking scientific research in the social sciences and on using social theories as an inspiration to new frameworks and developments in multi-agent systems.

Keywords

multi-agent-based simulation discrete-even simulation simulation summarization agent-based social simulation modeling methodologies reasoning about belief and knowledge distributed artificial intelligence distributed simulation simulation methodologies simulation evaluation indusry and manufacturing history

Editors and affiliations

  • Luis Gustavo Nardin
    • 1
  • Luis Antunes
    • 2
  1. 1.Center for Modeling Complex InteractionsUniversity of IdahoMoscowUSA
  2. 2.Universidade de Lisboa LisbonPortugal

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-67477-3
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-67476-6
  • Online ISBN 978-3-319-67477-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site