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Objective vs. Subjective Coordination in Agent-Based Systems: A Case Study

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Part of the Lecture Notes in Computer Science book series (LNCS,volume 2315)

Abstract

This paper aims at showing the benefits of objective coordination in the design and development of agent-based distributed applications. We compare the subjective and objective coordination approaches in the engineering of a simple case study — a distributed MP3enco ding application — pointing out the benefits of the objective ones. In particular, we discuss the design and development of the sample application using three different solutions according to such approaches: a subjective solution, based on conversation and middle-agents, as often found in Distributed Artificial Intelligence and in Multi-Agent Systems; JavaSpaces, as a notable example of loosely-objective approach, not expressive enough to gain all the advantages of objective coordination; and TuCSoN as a fully-objective approach, providing a hybrid coordination model able to exploit the full potential of objective coordination.

Keywords

  • Multiagent System
  • Coordination Activity
  • Coordination Policy
  • Tail Index
  • Subjective Approach

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.

This work has been partially supported by MIUR, and by Nokia Research Center, Burlington, MA, USA.

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© 2002 Springer-Verlag Berlin Heidelberg

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Ricci, A., Omicini, A., Denti, E. (2002). Objective vs. Subjective Coordination in Agent-Based Systems: A Case Study. In: Arbab, F., Talcott, C. (eds) Coordination Models and Languages. COORDINATION 2002. Lecture Notes in Computer Science, vol 2315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46000-4_27

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  • DOI: https://doi.org/10.1007/3-540-46000-4_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43410-8

  • Online ISBN: 978-3-540-46000-8

  • eBook Packages: Springer Book Archive

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