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Conference Papers Year : 2006

Deterministic and Probabilistic Implementation of Context


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.
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inria-00326530 , version 1 (03-10-2008)


  • HAL Id : inria-00326530 , version 1


Oliver Brdiczka, Patrick Reignier, James L. Crowley, Dominique Vaufreydaz, Jérôme Maisonnasse. Deterministic and Probabilistic Implementation of Context. IEEE International Conference on Pervasive Computing and Communications Workshops, Mar 2006, Pisa, Italy. 5 p. ⟨inria-00326530⟩
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