Learning rules from user behaviour

Corapi, Domenico; Ray, Oliver; Russo, Alessandra; Bandara, Arosha and Lupu, Emil (2009). 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 Apr 2009, Thessaloniki, Greece, pp. 459–468.

DOI: https://doi.org/10.1007/978-1-4419-0221-4_54

Abstract

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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About

• Item ORO ID
• 18781
• Item Type
• Conference or Workshop Item
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2009 The Authors
• Depositing User
• Arosha Bandara