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https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY
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A many-sorted epistemic logic for chromatic hypergraphs

Authors: Goubault, Éric; Kniazev, Roman; Ledent, Jérémy;

A many-sorted epistemic logic for chromatic hypergraphs

Abstract

We propose a many-sorted modal logic for reasoning about knowledge in multi-agent systems. Our logic introduces a clear distinction between participating agents and the environment. This allows to express local properties of agents and global properties of worlds in a uniform way, as well as to talk about the presence or absence of agents in a world. The logic subsumes the standard epistemic logic and is a conservative extension of it. The semantics is given in chromatic hypergraphs, a generalization of chromatic simplicial complexes, which were recently used to model knowledge in distributed systems. We show that the logic is sound and complete with respect to the intended semantics. We also show a further connection of chromatic hypergraphs with neighborhood frames.

Keywords

FOS: Computer and information sciences, Computer Science - Logic in Computer Science, epistemic logics, Mathematics - Logic, 004, 620, Logic in Computer Science (cs.LO), hypergraphs, Modal logics, FOS: Mathematics, F.4.1, [INFO]Computer Science [cs], Computer Science - Multiagent Systems, Theory of computation → Modal and temporal logics, multi-agent systems, Logic (math.LO), Multiagent Systems (cs.MA), ddc: ddc:004

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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).
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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.
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