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SA-MAS: Self-Adaptation to Enhance Software Qualities in Multi-Agent Systems
Linnaeus University, Faculty of Technology, Department of Media Technology. (CeLeKT)
Linnaeus University, Faculty of Technology, Department of Computer Science.ORCID iD: 0000-0002-1162-0817
2013 (English)In: Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems (AAMAS 2013) / [ed] Ito, Jonker, Gini, and Shehory, The International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2013, , 2 p.1159-1160 p.Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Engineering multi-agent systems (MAS) is known to be a complex task. One of the reasons lays in the complexity to combine multiple concerns that a MAS has to address, such as system functionality, coordination, robustness, etc. A well-recognized approach to manage system complexity is the use of self-adaptation (SA). Self-adaptation extends a system with support to monitor and adapt itself to realize a concern of interest (optimization, fault-tolerance, etc.). We present SA-MAS, an architectural approach that integrates MAS with SA. We present a reference model for SA-MAS and illustrate it with an excerpt from our research.

Place, publisher, year, edition, pages
The International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2013. , 2 p.1159-1160 p.
Keyword [en]
Multi-agent systems, self-adaptation, reference model
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:lnu:diva-25909Scopus ID: 2-s2.0-84899427507ISBN: 978-1-4503-1993-5 (print)OAI: oai:DiVA.org:lnu-25909DiVA: diva2:623713
Conference
12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013), May, 6–10, 2013, Saint Paul
Available from: 2013-05-28 Created: 2013-05-28 Last updated: 2017-05-08Bibliographically approved

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