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Communication Dans Un Congrès Année : 1995

Updating, transition constraints and possibilistic Markov chains

Résumé

Possibility theory is applied to the updating problem in a knowledge base that describes the state of an evolving system. The system evolution is described by a possibilistic Markov chain whose agreement with the axioms of updating is examined. Then it is explained how to recover a possibilistic Markov chain from a set of transition constraints, on the basis of a specificity ordering.

Dates et versions

hal-04049243 , version 1 (28-03-2023)

Identifiants

Citer

Didier Dubois, Florence Dupin de Saint-Cyr, Henri Prade. Updating, transition constraints and possibilistic Markov chains. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 1994), Jul 1994, Paris, France. pp.263--272, ⟨10.1007/BFb0035959⟩. ⟨hal-04049243⟩
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