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Dealing with Adaptive Multi-agent Organizations in the Gaia Methodology

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Agent-Oriented Software Engineering VI (AOSE 2005)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3950))

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Abstract

Changes and adaptations are always necessary after the deployment of a multiagent system (MAS), as well as of any other type of software systems. Some of these changes may be simply perfective and have local impact only. However, adaptive changes to meet changed situations in the operational environment of the MAS may have global impact on the overall design. In this paper, we analyze the issue of continuous design change/adaptation in a MAS organization, and the specific problem of how to properly model/design a MAS so as to make it ready to adaptation. Following, the paper focuses on the Gaia methodology and analyzes – also with the help of an illustrative example – its suitability in supporting and facilitating adaptive changes in MASs organizations, and its advantages and limitations with this regard over a number of different agent-oriented methodologies.

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Author information

Authors and Affiliations

  1. DISMI, Università di Modena e Reggio Emilia, Via Allegri 13, Reggio Emilia, Italia

    Luca Cernuzzi & Franco Zambonelli

  2. Universidad Católica “Nuestra Señora de la Asunción”, DEI Campus Universitario, Asunción, Paraguay

    Luca Cernuzzi

Authors
  1. Luca Cernuzzi
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  2. Franco Zambonelli
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Editors and Affiliations

  1. Department of Informatics, Clausthal University of Technology, Julius-Albert-Str. 4, D-38678, Clausthal-Zellerfeld, Germany

    Jörg P. Müller

  2. Dipartimento di Scienze e Metodi dell’Ingegneria, Università di Modena e Reggio Emilia, Via Amendola 2, 42100, Reggio Emilia, Italy

    Franco Zambonelli

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Cernuzzi, L., Zambonelli, F. (2006). Dealing with Adaptive Multi-agent Organizations in the Gaia Methodology. In: Müller, J.P., Zambonelli, F. (eds) Agent-Oriented Software Engineering VI. AOSE 2005. Lecture Notes in Computer Science, vol 3950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752660_9

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  • DOI: https://doi.org/10.1007/11752660_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34097-3

  • Online ISBN: 978-3-540-34099-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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