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ATAL
2005
Springer

Personalisation for user agents

13 years 9 months ago
Personalisation for user agents
This paper is concerned with personalisation of user agents by symbolic, on-line machine learning techniques. The application of these ideas to an infotainment agent is discussed in detail. Also experimental results, which indicate that a high level of personalisation can be achieved by this approach, are presented. Categories and Subject Descriptors I.2.6 [Artificial Intelligence]: Learning—induction, knowledge acquisition; I.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence—intelligent agents General Terms Algorithms, Human Factors, Design Keywords User agents, symbolic learning, personalisation
Joshua J. Cole, Matt J. Gray, John W. Lloyd, Kee S
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where ATAL
Authors Joshua J. Cole, Matt J. Gray, John W. Lloyd, Kee Siong Ng
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