Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/12354
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dc.contributor.authorMarrow, P-
dc.contributor.authorHoile, C-
dc.contributor.authorWang, F-
dc.contributor.authorBonsma, E-
dc.date.accessioned2016-03-14T15:00:07Z-
dc.date.available2016-03-14T15:00:07Z-
dc.date.issued2003-
dc.identifier.citationLecture Notes in Artificial Intelligence, 2636, pp. 159 - 173, (2003)en_US
dc.identifier.isbn978-3-540-44826-6-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://link.springer.com/chapter/10.1007%2F3-540-44826-8_10-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/12354-
dc.description.abstractSoftware agents can prove useful in representing the interests of human users of agent systems. When users have diverse interests, the question arises as to how agents representing their interests can be grouped so as to facilitate interaction between users with compatible interests. This paper describes experiments in the DIET (Decentralised Information Ecosystem Technologies) agent platform that use evolutionary computation to evolve preferences of agents in choosing environments so as to interact with other agents representing users with similar interests. These experiments suggest a useful way for agents to acquire preferences for formation of groups for information interaction between users, and may also indicate means for supporting load balancing in distributed systems.en_US
dc.description.sponsorshipDIET (Decentralised Information Ecosystems Technologies) project (IST-1999-10088), Universal Information Ecosystems initiative of the Information Society Technology Programme of the European Union. Universidad Carlos III de Madrid, the Department of Electronic and Computer Engineering, Technical University of Crete, and the Intelligent and Simulation Systems Department, DFKI, Enterprise Venturing Programme of BTexact Technologies.en_US
dc.format.extent159 - 173-
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.titleEvolving preferences among emergent groups of agentsen_US
dc.typeBook chapteren_US
dc.identifier.doihttp://doi.dx.org/10.1007/3-540-44826-8_10-
dc.relation.isPartOfLecture Notes in Artificial Intelligence-
pubs.publication-statusPublished-
pubs.publication-statusPublished-
pubs.volume2636-
Appears in Collections:Brunel Law School Research Papers

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