Reasoning using a Probabilistic Predicate Transition Net Model
Jaya Sil, Amit Konar · International Journal of Modelling and Simulation · 2001
A new probabilistic predicate transition net model is proposed in this paper for efficiency of reasoning in expert systems in the presence of imprecision and inconsistency of the database and uncertainty in the knowledge base, which also may include self-references. The dynamic behaviour of the model has been analyzed in detail to determine the condition for stability and existence of limit cycles in the reasoning system. The scope of inconsistency management has also been discussed for models with stable dynamic behaviour. The concepts presented in the paper have been illustrated with reference to a self-referential expert system, designed for scene interpretation.