Logic for computer science: foundations of automatic theorem proving
Logic for computer science: foundations of automatic theorem proving
On the logic of iterated belief revision
Artificial Intelligence
A programmable approach to maintenance of a finite knowledge base
Journal of Computer Science and Technology
Fast algorithms for revision of some special propositional knowledge bases
Journal of Computer Science and Technology
A consistency-based approach for belief change
Artificial Intelligence
Revisions of knowledge systems using epistemic entrenchment
TARK '88 Proceedings of the 2nd conference on Theoretical aspects of reasoning about knowledge
On Computing Belief Change Operations using Quantified Boolean Formulas
Journal of Logic and Computation
Revision sequences and nested conditionals
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
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In this paper, we combine the syntax-based belief change approach and model-based approach, and present a computational approach for belief change. We introduce functions to revise or contract a belief set, as well as functions to revise or contract a belief base. We also show properties of the revision functions and the contraction functions. The implementation of the revision functions and the contraction functions are also considered, and algorithms to revise a belief set or contract a sentence from a belief set are also given. Compared with related works, the main characteristic of our approach is that the functions can be implemented by algorithms.