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Runtime adaptation of multiagent systems for ubiquitous environments
Faculty of Information Technology, Monash University.
Department of Computer Science & Computer Engineering, La Trobe University.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Faculty of Information Technology, Monash University.
2009 (English)In: IWI 2009: 2009 IEEE/WIC/ACM International Conference on Web Intelligence : proceedings, 15-18 September, 2009 : Università degli Studi di Milano Bicocca, Milano, Italy, Los Alamitos, Calif: IEEE Communications Society, 2009, Vol. 2, 486-490 p.Conference paper (Refereed)
Abstract [en]

There is a growing need to develop adaptive mobile agent systems to meet the increasing complexity and dynamic environments of distributed applications. This paper proposes and argues that using compositional adaptation of individual and teamed software agents allows multiagent systems to radically change their behaviors and structure at runtime. We describe and analyze an application scenario which motivates a compositionally adaptive agent based approach. The challenges and different solutions are described. The paper then proposes the VERSAG approach which is used to combine the benefits of the various approaches in a novel manner. This paper also presents experimental evaluations which compare these adaptive mobile agents with standard non-adaptive mobile agents.

Place, publisher, year, edition, pages
Los Alamitos, Calif: IEEE Communications Society, 2009. Vol. 2, 486-490 p.
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-37451DOI: 10.1109/WI-IAT.2009.199ScopusID: 84855936163Local ID: b7c9a350-e718-11de-bae5-000ea68e967bISBN: 9780769538013OAI: oai:DiVA.org:ltu-37451DiVA: diva2:1010949
Conference
IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies : 15/09/2009 - 18/09/2009
Note
Godkänd; 2009; 20091212 (ysko)Available from: 2016-10-03 Created: 2016-10-03Bibliographically approved

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Zaslavsky, Arkady
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Computer Science

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