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Autonomous Agents and Multiagent Systems

AAMAS 2017 Workshops, Best Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers

  • Gita Sukthankar
  • Juan A. Rodriguez-Aguilar
Conference proceedings AAMAS 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10642)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10642)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Yuchen Wang, Fenghui Ren, Minjie Zhang
    Pages 21-35
  3. Carolina G. Abreu, Célia G. Ralha
    Pages 36-50
  4. Jayesh K. Gupta, Maxim Egorov, Mykel Kochenderfer
    Pages 66-83
  5. Phillip Taylor, Nathan Griffiths, Lina Barakat, Simon Miles
    Pages 84-102
  6. Zheyuan Shi, Fei Fang
    Pages 138-150
  7. Patrick MacAlpine, Peter Stone
    Pages 168-186
  8. James Marchant, Nathan Griffiths
    Pages 187-202
  9. Jieting Luo, John-Jules Meyer, Max Knobbout
    Pages 203-221
  10. Pablo Hernandez-Leal, Michael Kaisers
    Pages 239-257
  11. Nicola Falcionelli, Paolo Sernani, Albert Brugués, Dagmawi Neway Mekuria, Davide Calvaresi, Michael Schumacher et al.
    Pages 258-274
  12. Andrew Perrault, Craig Boutilier
    Pages 275-295
  13. Back Matter
    Pages 297-297

Other volumes

  1. Autonomous Agents and Multiagent Systems
    AAMAS 2017 Workshops, Best Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers
  2. AAMAS 2017 Workshops, Visionary Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers

About these proceedings

Introduction

This book features a selection of best papers from 13 workshops held at the International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, held in Sao Paulo, Brazil, in May 2017. 

The 17 full papers presented in this volume were carefully reviewed and selected for inclusion in this volume. They cover specific topics, both theoretical and applied, in the general area of autonomous agents and multiagent systems. 

Keywords

agents artificial intelligence multi-agent systems MAS intelligent agents cooperation and coordination semantics robotics machine learning formal methods graph theory formal languages QoS reinforcement learning information theory

Editors and affiliations

  1. 1.University of Central FloridaOrlandoUSA
  2. 2.IIIA-CSICBellaterraSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-71682-4
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-71681-7
  • Online ISBN 978-3-319-71682-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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