Massively Multi-Agent Technology

AAMAS Workshops, MMAS 2006, LSMAS 2006, and CCMMS 2007 Hakodate, Japan, May 9, 2006 Honolulu, HI, USA, May 15, 2007 Selected and Revised Papers

  • Editors
  • Nadeem Jamali
  • Paul Scerri
  • Toshiharu Sugawara
Conference proceedings AAMAS 2007

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5043)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5043)

Table of contents

  1. Front Matter
  2. Massively Multi-agent Infrastructure

    1. Gaku Yamamoto, Hideki Tai, Hideyuki Mizuta
      Pages 1-12
    2. Nadeem Jamali, Xinghui Zhao
      Pages 13-27
  3. Task Allocation in Massively Multi-agent Systems

  4. Teams and Organization

    1. Chris L. D. Jones, K. Suzanne Barber
      Pages 92-106
    2. Paulo R. Ferreira Jr., Felipe S. Boffo, Ana L. C. Bazzan
      Pages 107-121
  5. Applications of Massively Multi-agent Systems

    1. Venkatesh G. Rao, Brian Petty
      Pages 122-130
    2. Osamu Akashi, Kensuke Fukuda, Satoshi Kurihara, Toshio Hirotsu, Toshiharu Sugawara
      Pages 131-145
    3. Smaine Mazouzi, Zahia Guessoum, Fabien Michel, Mohamed Batouche
      Pages 146-161
    4. Myriam Abramson, William Chao, Joseph Macker, Ranjeev Mittu
      Pages 162-175
    5. Timothy Middelkoop, Abhijit Deshmukh
      Pages 176-189
  6. Back Matter

About these proceedings


This book constitutes the thoroughly refereed post-workshop proceedings of the joint AAMAS 2006 International Workshops on Massively Multi-Agent Systems, MMAS 2006, and on Large scale Multi-Agent Systems, LSMAS 2006, held in Hakodate, Japan, in May 2006, and of the International Workshop on Coordination and Control in Massively Multi-Agent Systems, CCMMS 2007, held in Honolulu, HI, USA, in May 2007 as associated event of AAMAS 2007.

The 13 revised full papers presented were carefully selected from the presentations made at the 3 workshops fall in 4 broad categories, presenting a snapshot of current research. Included are implementation strategies addressing coordination in the space of spatial and temporal distributed systems; approaches to deal with complexity to make decisions such as task allocation and team formation efficiently, by creating implicit or explicit encapsulations; and finally, a diverse range of applications to which these approaches may be applied, from large-scale agent based simulations to managing different types of networks to image segmentation.


Management agent-based negotiation agent-based simulation algorithms auction simulation bidding strategies coalition formation complexity coordination dependability distributed systems fault tolerance game theory multi-agent system organization

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-540-85448-7
  • Online ISBN 978-3-540-85449-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site