Software Engineering for Multi-Agent Systems IV

Research Issues and Practical Applications

  • Alessandro Garcia
  • Ricardo Choren
  • Carlos Lucena
  • Paolo Giorgini
  • Tom Holvoet
  • Alexander Romanovsky
Conference proceedings SELMAS 2005

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3914)

Table of contents

  1. Front Matter
  2. Context-Awareness and Coordination

    1. Anand R. Tripathi, Devdatta Kulkarni, Tanvir Ahmed
      Pages 1-16
    2. Kurt Schelfthout, Tom Holvoet, Yolande Berbers
      Pages 17-34
    3. Koenraad Mertens, Tom Holvoet, Yolande Berbers
      Pages 35-52
    4. Marco Mamei, Franco Zambonelli
      Pages 53-70
  3. Modeling

    1. Scott A. DeLoach
      Pages 109-125
    2. Ghassan Beydoun, César Gonzalez-Perez, Brian Henderson-Sellers, G. Low
      Pages 126-142
    3. Giancarlo Guizzardi
      Pages 143-160
  4. Requirements and Software Architecture

    1. Josh Dehlinger, Robyn R. Lutz
      Pages 161-178
    2. Paul Davidsson, Stefan Johansson, Mikael Svahnberg
      Pages 179-188
    3. Haralambos Mouratidis, Michael Weiss
      Pages 207-223
  5. Dependability

  6. Back Matter

About these proceedings


With the integration of computing and communication into the very fabric of our social, economic, and personal existence, the manner in which we think about and build software has become the subject of intense intellectual, scienti?c, and engineering reexamination. New computing paradigms have been proposed and new software architectures are being examined. The study of multi-agent s- tems (MAS) is one important movement energized by a growing awareness that application development may need to follow radically new paths. Fundamentally, MAS denotes a new software speci?cation and design paradigm. Moreover, when viewed in the context of large-scale deployment, it emerges as the embodiment of the quintessential concerns facing the software engineering community today. As computing and communication permeates the essential aspects of the societal infrastructure, software must become more nimble, slimmer, more natural, and more discrete. Software must integrate itself in an organic way into the activities it serves and the resources it exploits.


complexity design modeling multi-agent system software architecture software engineering structured analysis

Editors and affiliations

  • Alessandro Garcia
    • 1
  • Ricardo Choren
    • 2
  • Carlos Lucena
    • 3
  • Paolo Giorgini
    • 4
  • Tom Holvoet
    • 5
  • Alexander Romanovsky
    • 6
  1. 1.Lancaster UniversityLancasterUK
  2. 2.SE-8, IME, Pca General Tiburcio 80Rio de JaneiroBrazil
  3. 3.Computer Science DepartmentPontifical Catholic University of Rio de JaneiroBrazil
  4. 4.University of Trento - DISIPovoItaly
  5. 5.DistriNet LabsK.U. LeuvenBelgium
  6. 6.Computer Science SchoolNewcastle UniversityUK

Bibliographic information

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