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On identifying and managing relationships in multi-agent systems

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

5 Citations (Scopus)

Abstract

Multi-agent systems result from interactions between individual agents. Through these interactions different kinds of relationships are formed, which can impact substantially on the overall system performance. However, the behaviour of agents cannot always be anticipated, especially when dealing with open and complex systems. Open agent systems must incorporate relationship management mechanisms to constrain agent actions and allow only desirable interactions. In consequence, in this paper we tackle two important issues. Firstly, in addressing management, we identify the range of different control mechanisms that are required and when they should be applied. Secondly, in addressing relationships, we present a model for identifying and characterising relationships in a manner that is application-neutral and amenable to automation.

Original languageEnglish
Title of host publicationProceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI 2003
PublisherInternational Joint Conferences on Artificial Intelligence Organization
Pages743-748
Number of pages6
Publication statusPublished - 9 Aug 2003
Event18th International Joint Conference on Artificial Intelligence, IJCAI 2003 - Acapulco, Mexico
Duration: 9 Aug 200315 Aug 2003
https://www.ijcai.org/proceedings/2003 (Conference Proceedings)

Publication series

NameInternational Joint Conference on Artificial Intelligence, IJCAI
ISSN (Print)1045-0823

Conference

Conference18th International Joint Conference on Artificial Intelligence, IJCAI 2003
Country/TerritoryMexico
CityAcapulco
Period9/08/0315/08/03
Internet address

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