Learning Rules from User Behaviour View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2009

AUTHORS

Domenico Corapi , Oliver Ray , Alessandra Russo , Arosha Bandara , Emil Lupu

ABSTRACT

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. More... »

PAGES

459-468

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4419-0221-4_54

DOI

http://dx.doi.org/10.1007/978-1-4419-0221-4_54

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016854411


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