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

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Book cover Coordination Models and Languages (COORDINATION 2002)

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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.

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

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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

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