Modal logic
Reasoning about Information Change
Journal of Logic, Language and Information
Epistemic Logic for AI and Computer Science
Epistemic Logic for AI and Computer Science
What can we achieve by arbitrary announcements?: A dynamic take on Fitch's knowability
TARK '07 Proceedings of the 11th conference on Theoretical aspects of rationality and knowledge
Simulation and Information: Quantifying over Epistemic Events
Knowledge Representation for Agents and Multi-Agent Systems
Arbitrary Action Model Logic and Action Model Synthesis
LICS '13 Proceedings of the 2013 28th Annual ACM/IEEE Symposium on Logic in Computer Science
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Refinement quantifiers were introduced to quantify over all refinements of a model in modal logic, where a refinement is described by a simulation relation. Given the ''possible worlds'' interpretation of modal logic, a refinement corresponds to an agent ruling out certain possible worlds based on new information. Recent work by van Ditmarsch, French and Pinchinat has presented an axiomatization and complexity results for refinement quantifiers in the general modal logic K. Here we extend these results to apply to the epistemic and doxastic settings for a single agent.