Learning rules from user behaviourDomenico Corapi, Oliver Ray, Alessandra Russo, Arosha Bandara, Emil Lupu, Learning rules from user behaviour. 5th International Conference on Artificial Intelligence Applications and Innovations , pp. 459–468. July 2009. PDF, 255 Kbytes.
Pervasive computing requires infrastructures that adapt to changes in user behaviour while minimising user interactions. Policy-based approaches 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.