An incremental method for generating prime implicants/implicates
Journal of Symbolic Computation
Optimizing the clausal normal form transformation
Journal of Automated Reasoning
On the complexity of propositional knowledge base revision, updates, and counterfactuals
Artificial Intelligence
Propositional belief base update and minimal change
Artificial Intelligence
CNF and DNF Considered Harmful for Computing Prime Implicants/Implicates
Journal of Automated Reasoning
Introducing actions into qualitative simulation
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
A perspective on knowledge compilation
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
Prime forms and minimal change in propositional belief bases
Annals of Mathematics and Artificial Intelligence
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In the Belief Change domain, Katsuno and Mendelzon have proposed a set of postulates that should be satisfied by update operators. In 1989, Forbus semantically defined an update operator that satisfies these postulates. In order to calculate the resulting belief base all models of the relevant belief bases must be known. This paper proposes to use the prime implicants and prime implicates normal forms to represent these bases. Using this representation, a syntactical and computationally cheaper version of Forbus belief update operator is defined and a new minimal distance is proposed. We claim that this minimal distance ensures a better commitment between the minimal change criterion and the belief update definition.