Semantical considerations on nonmonotonic logic
Artificial Intelligence
Artificial Intelligence
Nonmonotonic logic and temporal projection
Artificial Intelligence
Reasoning about change: time and causation from the standpoint of artificial intelligence
Reasoning about change: time and causation from the standpoint of artificial intelligence
On the relation between default and autoepistemic logic
Artificial Intelligence
Miracles in formal theories of action
Artificial Intelligence
Formal theories of belief revision
Proceedings of the first international conference on Principles of knowledge representation and reasoning
The Frame Problem in Artificial Intelligence: Proceedings of the 1987 Workshop April 12-15, 1987 Lawrence, Kansas
Updating action domain descriptions
Artificial Intelligence
The PMA and Relativizing Minimal Change for Action Update
Fundamenta Informaticae
Critical reasoning: AI for emergency response
Applied Intelligence
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The study of belief revision and reasoning about actions have been two of the most active areas of research in AI. Both these areas involve reasoning about change. However very little work has been done in analyzing the principles common to both these areas. This paper presents a formal characterization of belief revision, based on the principles of minimal change and maximal coherence. This formal theory is then used to reason about actions. The resulting theory provides an elegant solution to the conceptual frame and ramification problems. It also facilitates reasoning in dynamic situations where the world changes during the execution of an action. The principles of minimal change and maximal coherence seem to unify belief revision and reasoning about actions and may form a fundamental core for reasoning about other dynamic processes that involve change.