Knowledge and common knowledge in a distributed environment
Journal of the ACM (JACM)
Reasoning about knowledge
Dynamic Logic
Knowledge and common knowledge in a distributed environment
PODC '84 Proceedings of the third annual ACM symposium on Principles of distributed computing
Mathematical Structures in Computer Science
Dynamic epistemic logic with assignment
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
ACM Transactions on Computational Logic (TOCL)
Actions and resources in epistemic logic
Actions and resources in epistemic logic
From DEL to EDL: Exploring the Power of Converse Events
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Dynamic Epistemic Logic
Positive Logic with Adjoint Modalities: Proof Theory, Semantics and Reasoning about Information
Electronic Notes in Theoretical Computer Science (ENTCS)
Theoretical Computer Science
Dynamic epistemic algebra with post-conditions to reason about robot navigation
WoLLIC'11 Proceedings of the 18th international conference on Logic, language, information and computation
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We develop an algebraic modal logic that combines epistemic and dynamic modalities with a view to modelling information acquisition (learning) by automated agents in a changing world. Unlike most treatments of dynamic epistemic logic, we have transitions that "change the state" of the underlying system and not just the state of knowledge of the agents. The key novel feature that emerges is the need to have a way of "inverting transitions" and distinguishing between transitions that "really happen" and transitions that are possible. Our approach is algebraic, rather than being based on a Kripke-style semantics. The semantics are given in terms of quantales. We study a class of quantales with the appropriate inverse operations and prove properties of the setting. We illustrate the ideas with toy robot-navigation problems. These illustrate how an agent learns information by taking actions.