Reasoning about knowledge
Modeling belief in dynamic systems, part I: foundations
Artificial Intelligence
Modal logic
The learning power of belief revision
TARK '98 Proceedings of the 7th conference on Theoretical aspects of rationality and knowledge
A Knowledge Based Semantics of Messages
Journal of Logic, Language and Information
Logics of communication and change
Information and Computation
Axiomatic characterization of the AGM theory of belief revision in a temporal logic
Artificial Intelligence
Can doxastic agents learn? on the temporal structure of learning
LORI'09 Proceedings of the 2nd international conference on Logic, rationality and interaction
Finite identification from the viewpoint of epistemic update
Information and Computation
The synchronicity of dynamic epistemic logic
Proceedings of the 13th Conference on Theoretical Aspects of Rationality and Knowledge
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This paper builds bridges between the two main families of modal logics of belief change, both based on plausibility pre-orders: dynamic doxastic logics computing stepwise updates, and temporal doxastic logics describing global system evolutions. Following earlier results linking dynamic-epistemic and epistemic-temporal logics, we prove representation theorems showing under which conditions a doxastic temporal model can be represented as the stepwise evolution of a doxastic model under successive 'priority updates'. This allows for merges, where, in particular, the notion of a 'temporal protocol' defining a global information process (for instance of communication or learning) can be introduced into the more local dynamic perspective.