Nonmonotonic reasoning, preferential models and cumulative logics
Artificial Intelligence
Propositional knowledge base revision and minimal change
Artificial Intelligence
What does a conditional knowledge base entail?
Artificial Intelligence
Handbook of logic in artificial intelligence and logic programming (Vol. 4)
On the logic of iterated belief revision
Artificial Intelligence
A unified model of qualitative belief change: a dynamical systems perspective
Artificial Intelligence
Propositional belief base update and minimal change
Artificial Intelligence
Journal of Logic, Language and Information
Refined Epistemic Entrenchment
Journal of Logic, Language and Information
Revisions of Knowledge Systems Using Epistemic Entrenchment
Proceedings of the 2nd Conference on Theoretical Aspects of Reasoning about Knowledge
Logical Fiction: Real vs. Ideal
PRICAI '98 Proceedings of the 5th Pacific Rim International Conference on Artificial Intelligence: Topics in Artificial Intelligence
On the logic of iterated belief revision
TARK '94 Proceedings of the 5th conference on Theoretical aspects of reasoning about knowledge
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Hi-index | 0.00 |
In this paper we study the epistemic change operation of revision when the epistemic state of an agent is extended to include not only beliefs but knowledge too. An information-theoretic model of epistemic states is defined based on the notion of a templated ordering. A set of rationality postulates is defined for templated revision, which extends the AGM postulates, and a model-based representation result is provided characterising the proposed postulates. These postulates capture the intuition that during a revision, the agent's knowledge should grow monotonically while the agent's belief may grow nonmonotonically. It is shown that templated revision satisfies all the Darwiche-Pearl postulates for iterated revision, except for the controversial postulate (C2).