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  • Conference proceedings
  • © 2010

Programming Multi-Agent Systems

7th International Workshop, ProMAS 2009, Budapest, Hungary, May10-15, 2009.Revised Selected Papers

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5919)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): ProMAS: International Workshop on Programming Multi-Agent Systems

Conference proceedings info: ProMAS 2009.

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Table of contents (17 papers)

  1. Front Matter

  2. Communication Models

    1. Programming Multiagent Systems without Programming Agents

      • Munindar P. Singh, Amit K. Chopra
      Pages 1-14
    2. Elements of a Business-Level Architecture for Multiagent Systems

      • Amit K. Chopra, Munindar P. Singh
      Pages 15-30
    3. A Computational Semantics for Communicating Rational Agents Based on Mental Models

      • Koen V. Hindriks, M. Birna van Riemsdijk
      Pages 31-48
  3. Formal Models

    1. Probabilistic Behavioural State Machines

      • Peter Novák
      Pages 67-81
    2. Golog Speaks the BDI Language

      • Sebastian Sardina, Yves Lespérance
      Pages 82-99
  4. Organizations and Environments

    1. A Middleware for Modeling Organizations and Roles in Jade

      • Matteo Baldoni, Guido Boella, Valerio Genovese, Andrea Mugnaini, Roberto Grenna, Leendert van der Torre
      Pages 100-117
    2. An Open Architecture for Service-Oriented Virtual Organizations

      • Adriana Giret, Vicente Julián, Miguel Rebollo, Estefanía Argente, Carlos Carrascosa, Vincente Botti
      Pages 118-132
    3. Formalising the Environment in MAS Programming: A Formal Model for Artifact-Based Environments

      • Alessandro Ricci, Mirko Viroli, Michele Piunti
      Pages 133-150
  5. Analysis and Debugging

    1. Debugging BDI-Based Multi-Agent Programs

      • Mehdi Dastani, Jaap Brandsema, Amco Dubel, John-Jules Ch. Meyer
      Pages 151-169
    2. Space-Time Diagram Generation for Profiling Multi Agent Systems

      • Dinh Doan Van Bien, David Lillis, Rem W. Collier
      Pages 170-184
    3. Infrastructure for Forensic Analysis of Multi-Agent Based Simulations

      • Emilio Serrano, Juan A. Botia, Jose M. Cadenas
      Pages 185-200
  6. Agent Architectures

    1. Representing Long-Term and Interest BDI Goals

      • Lars Braubach, Alexander Pokahr
      Pages 201-218
    2. Introducing Relevance Awareness in BDI Agents

      • Emiliano Lorini, Michele Piunti
      Pages 219-236
    3. Modularity and Compositionality in Jason

      • Neil Madden, Brian Logan
      Pages 237-253
  7. Applications

    1. A MultiAgent System for Monitoring Boats in Marine Reserves

      • Giuliano Armano, Eloisa Vargiu
      Pages 254-265
    2. Agent-Oriented Control in Real-Time Computer Games

      • Tristan M. Behrens
      Pages 266-283
  8. Back Matter

Other Volumes

  1. Programming Multi-Agent Systems

About this book

The earliest work on agents may be traced at least to the ?rst conceptualization of the actor model by Carl Hewitt. In a paper in an AI conference in the early 1970s, Hewitt described actors as entities with knowledge and goals. Research on actors continued to focus on AI with the development of the Sprites model in which a monotonically growing knowledge base could be accessed by actors (inspired by what Hewitt called “the Scienti?c Computing Metaphor”). In the late1970sandwellinto 1980s,controversyragedinAIbetweenthosearguingfor declarative languages and those arguing for procedural ones. Actor researchers stood on the side of a procedural view of knowledge, arguing for an open s- tems perspective rather than the closed world hypothesis necessary for a logical, declarativeview. In the open systemsview,agentshad armslength relationships and could not be expected to store consistent facts, nor could the information in a system be considered complete (the “negation as failure” model). Subsequent work on actors, including my own, focused on using actors for general purpose concurrent and distributed programming. In the late 1980s, a number of actor languages and frameworks were built. These included Act++ (in C++) by Dennis Kafura and Actalk (in Smalltalk) by Jean-Pierre Briot. In recent times, the use of the Actor model, in various guises, has proliferated as new parallel and distributed computing platforms and applications have become common:clusters,Webservices,P2Pnetworks,clientprogrammingonmulticore processors, and cloud computing.

Keywords

  • BDI agents
  • Multi-agent system
  • agent architectures
  • agent programming
  • agent-oriented programming
  • distributed computing
  • programming

Editors and Affiliations

  • Distributed Systems and Information Systems, Computer Science Department, University of Hamburg, Hamburg, Germany

    Lars Braubach

  • LIP6, Paris VI, Paris, France

    Jean-Pierre Briot

  • School of Computer Science, RMIT University, Melbourne, Australia

    John Thangarajah

Bibliographic Information

Buying options

eBook USD 39.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions