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A Feature Analysis Framework for Evaluating Multi-agent System Development Methodologies

  • Quynh-Nhu Numi Tran
  • Graham Low
  • Mary-Anne Williams
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2871)

Abstract

This paper proposes a comprehensive and multi-dimensional feature analysis framework for evaluating and comparing methodologies for developing multi-agent systems (MAS). Developed from a synthesis of various existing evaluation frameworks, the novelty of our framework lies in the high degree of its completeness and the relevance of its evaluation criteria. The paper also presents a pioneering effort in identifying the standard steps and concepts to be supported by a MAS-development process and models.

Keywords

Multiagent System Relate Criterion Pioneer Effort Standard Step Development Lifecycle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Quynh-Nhu Numi Tran
    • 1
  • Graham Low
    • 1
  • Mary-Anne Williams
    • 2
  1. 1.School of Information Systems, Technology and ManagementThe University of New South WalesAustralia
  2. 2.Innovation and Technology Research Laboratory, Faculty of Information TechnologyUniversity of Technology SydneyAustralia

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