Deterministic and Probabilistic Implementation of Context

Authors:
Oliver Brdiczka;Patrick Reignier;James L. Crowley;Dominique Vaufreydaz;Jerome Maisonnasse
Affiliations:
Laboratoire GRAVIR INRIA Rhone-Alpes, France;Laboratoire GRAVIR INRIA Rhone-Alpes, France;Laboratoire GRAVIR INRIA Rhone-Alpes, France;Laboratoire GRAVIR INRIA Rhone-Alpes, France;Laboratoire GRAVIR INRIA Rhone-Alpes, France
Venue:
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
Year:
2006

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Abstract

This paper addresses the problem of implementing an abstract context model. First, the abstract context model is represented by a network of situations. Two different implementations for the situation model are then proposed: a deterministic one based on Petri nets and a probabilistic one based on Hidden Markov Models. Both implementations are illustrated and applied to real-world problems.