Corapi, Domenico; Ray, Oliver; Russo, Alessandra; Bandara, Arosha and Lupu, Emil
Learning rules from user behaviour.
In: Artificial Intelligence Applications and Innovations III: Proceedings of the 5TH IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI '2009), 23-25 April 2009, Thessaloniki, Greece.
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Pervasive computing requires infrastructures that adapt to changes in user behaviour while minimising user interactions. Policy-basedapproaches have been proposed as a means of providing adaptability but, at present, require policy goals and rules to be explicitly defined by users. This paper presents a novel, logic-based approach for automatically learning and updating models of users
from their observed behaviour. We show how this task can be accomplished using a nonmonotonic learning system, and we illustrate how the approach can be exploited within a pervasive computing framework.
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