Distributed Computing
PODC '87 Proceedings of the sixth annual ACM Symposium on Principles of distributed computing
Knowledge and common knowledge in a distributed environment
Journal of the ACM (JACM)
Knowledge and common knowledge in a byzantine environment: crash failures
Information and Computation
Time, clocks, and the ordering of events in a distributed system
Communications of the ACM
A Link Between Knowledge and Communication in Faulty Distributed Systems
Proceedings of the 3rd Conference on Theoretical Aspects of Reasoning about Knowledge
The Duality of TIme and Information
CONCUR '92 Proceedings of the Third International Conference on Concurrency Theory
Distributed Processes and the Logic of Knowledge
Proceedings of the Conference on Logic of Programs
Linear Time, Branching Time and Partial Order in Logics and Models for Concurrency, School/Workshop
Local knowledge assertions in a changing world: extended abstract
TARK '96 Proceedings of the 6th conference on Theoretical aspects of rationality and knowledge
Historical and computational aspects of paraconsistency in view of the logic foundation of databases
Proceedings of the 2nd international conference on Semantics in databases
Automata for Epistemic Temporal Logic with Synchronous Communication
Journal of Logic, Language and Information
Beyond Lamport's happened-before: on the role of time bounds in synchronous systems
DISC'10 Proceedings of the 24th international conference on Distributed computing
Knowledge as a window into distributed coordination
ICDCIT'12 Proceedings of the 8th international conference on Distributed Computing and Internet Technology
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In asynchronous distributed systems logical time is usually interpreted as "possible causality", a partial order on event occurrences. We investigate the relationship between passage of time and changes in the knowledge of agents. We show that there is a certain duality between knowledge transition systems (defined here to model changes in the states of knowledge of agents) and partially ordered sets of event occurrences (the model of n-Asynchronously Communicating Sequential Agents).