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https://dx.doi.org/10.48550/ar...
Article . 2017
License: CC BY NC ND
Data sources: Datacite
DBLP
Article . 2025
Data sources: DBLP
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Asynchronous Announcements

Authors: Philippe Balbiani; Hans van Ditmarsch; Saúl Fernández González;

Asynchronous Announcements

Abstract

We propose a multi-agent epistemic logic of asynchronous announcements, where truthful announcements are publicly sent but individually received by agents, and in the order in which they were sent. Additional to epistemic modalities the logic contains dynamic modalities for making announcements and for receiving them. What an agent believes is a function of her initial uncertainty and of the announcements she has received. Beliefs need not be truthful, because announcements already made may not yet have been received. As announcements are true when sent, certain message sequences can be ruled out, just like inconsistent cuts in distributed computing. We provide a complete axiomatization for this asynchronous announcement logic ( AA ). It is a reduction system that also demonstrates that any formula in AA is equivalent to one without dynamic modalities, just as for public announcement logic. A detailed example modelling message exchanging processes in distributed computing in AA closes our investigation.

Countries
Netherlands, France, Netherlands
Keywords

FOS: Computer and information sciences, Epistemic logics, Computer Science - Logic in Computer Science, Artificial Intelligence (cs.AI), 330, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence, [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO], asynchronous systems, Distributed, Parallel, and Cluster Computing (cs.DC), public announcements, 004, Logic in Computer Science (cs.LO)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
bronze
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