Prime Implicates and Reduced Implicate Tries
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
TABLEAUX '09 Proceedings of the 18th International Conference on Automated Reasoning with Analytic Tableaux and Related Methods
Prime implicates and prime implicants: from propositional to modal logic
Journal of Artificial Intelligence Research
Identifying Prime Implicate Branches in Reduced Implicate Tries
Fundamenta Informaticae - Methodologies for Intelligent Systems
Tri-based set operations and selective computation of prime implicates
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Minimization for generalized Boolean formulas
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
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This article presents an algorithm that, besides calculating the number of models of a propositional logic theory, also determines the distribution of these models among the terms of a disjunctive normal form representation of the theory. Using prime implicants to represent the target theory, in a knowledge compilation context, we discuss how this distribution can be used to define belief change operators that respect the theory structure. Some experimental results are also presented.