Multi-Agent System Engineering

9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW’99 Valencia, Spain, June 30 – July 2, 1999 Proceedings

  • Francisco J. Garijo
  • Magnus Boman
Conference proceedings MAAMAW 1999

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1647)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 1647)

Table of contents

  1. Front Matter
    Pages I-X
  2. Engineering Aspects of Multi-agent Systems

    1. Nicholas R. Jennings
      Pages 1-7
    2. Daniela E. Herlea, Catholijn M. Jonker, Jan Treur, Niek J. E. Wijngaards
      Pages 8-27
    3. K. S. Barber, T. H. Liu, D. C. Han
      Pages 28-40
    4. P. Charlton, E. Mamdani
      Pages 41-51
  3. Multi-agent Systems Framework

    1. V. Botti, C. Carrascosa, V. Julian, J. Soler
      Pages 63-76
  4. Languages and Protocols

    1. Amal El Fallah-Seghrouchni, Serge Haddad, Hamza Mazouzi
      Pages 89-101
    2. T. Carron, H. Proton, O. Boissier
      Pages 115-127
    3. Analía Amandi, Alejandro Zunino, Ramiro Iturregui
      Pages 128-139
  5. Negotiation and Cooperation

    1. Mihai Barbuceanu
      Pages 150-161
    2. Nathan Griffiths, Michael Luck
      Pages 162-174
    3. Nuno David, Jaime Simão Sichman, Helder Coelho
      Pages 175-187
  6. Formal Models

    1. Cristiano Castelfranchi, Rino Falcone
      Pages 188-209
    2. Antonio Moreno, Ulises Cortés, Ton Sales
      Pages 210-220
  7. Back Matter
    Pages 233-233

About these proceedings


In the ten years since the first MAAMAW was held in 1989, at King's College, Cambridge, the field of Multi-Agent Systems (MAS) has flourished. It has attracted an increasing amount of theoretical and applied research. During this decade, important efforts have been made to establish the scientific and technical foundations of MAS. MAAMAW publications are testimony to the progress achieved in key areas such as agent modelling and reasoning, multi-agent interaction and communication, and multi-agent organisation and social structure. Research results have covered a wide range of inter-related topics in each area including agent architectures, reasoning models, logics, conflict resolution, negotiation, resource allocation, load balancing, learning; social behaviour and interaction, languages and protocols, interagent and agent-human communication, social models, agent roles, norms and social laws, and static and dynamic organisational structures. The feasibility and the viability of the proposed models and techniques have been demonstrated through MAS applications in heterogeneous domains including electronic commerce, co-operative work, telecommunications, social and biological systems, robotics, office and business automation, public administration, social simulations and banking. As the applicability of the technology became understood, the multi-agent paradigm has been progressively accepted by product managers and system developers, giving rise to a considerable amount of business expectation from industry. These expectations do not rest on the concept or metaphor of agent, but on the development of MAS useful in an industrial setting, with real-time systems presenting the biggest challenge.


Autonomous Agents Multi-Agent Architectures Multi-Agent Cooperation Multi-Agent Engineering Multi-Agent Systems agents autonomous agent modeling multi-agent system

Editors and affiliations

  • Francisco J. Garijo
    • 1
  • Magnus Boman
    • 2
  1. 1.Telefónica Investigatión y DesarrolloMadridSpain
  2. 2.DSVSU/KTHKistaSweden

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 1999
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-66281-5
  • Online ISBN 978-3-540-48437-0
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site
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