An automata theoretic decision procedure for the propositional mu-calculus
Information and Computation
Local model checking in the modal mu-calculus
TAPSOFT '89 2nd international joint conference on Theory and practice of software development
Reasoning about knowledge
Epistemic Logic for AI and Computer Science
Epistemic Logic for AI and Computer Science
Theoretical Computer Science - Clifford lectures and the mathematical foundations of programming semantics
Justified and Common Knowledge: Limited Conservativity
LFCS '07 Proceedings of the international symposium on Logical Foundations of Computer Science
Logical omniscience as a computational complexity problem
Proceedings of the 12th Conference on Theoretical Aspects of Rationality and Knowledge
Self-Referential Justifications in Epistemic Logic
Theory of Computing Systems - Special Issue: Symposium on Computer Science; Guest Editors: Sergei Artemov, Volker Diekert and Alexander Razborov
A proof system for the linear time μ-calculus
FSTTCS'06 Proceedings of the 26th international conference on Foundations of Software Technology and Theoretical Computer Science
Hi-index | 0.00 |
It is not clear what a system for evidence-based common knowledge should look like if common knowledge is treated as a greatest fixed point. This paper is a preliminary step towards such a system. We argue that the standard induction rule is not well suited to axiomatize evidence-based common knowledge. As an alternative, we study two different deductive systems for the logic of common knowledge. The first system makes use of an induction axiom whereas the second one is based on co-inductive proof theory. We show the soundness and completeness for both systems.