Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/12354
Title: Evolving preferences among emergent groups of agents
Authors: Marrow, P
Hoile, C
Wang, F
Bonsma, E
Issue Date: 2003
Publisher: Springer Verlag
Citation: Lecture Notes in Artificial Intelligence, 2636, pp. 159 - 173, (2003)
Abstract: Software 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.
URI: http://link.springer.com/chapter/10.1007%2F3-540-44826-8_10
http://bura.brunel.ac.uk/handle/2438/12354
DOI: http://doi.dx.org/10.1007/3-540-44826-8_10
ISBN: 978-3-540-44826-6
ISSN: 0302-9743
Appears in Collections:Dept of Politics, History and Law Research Papers

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