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2015 | OriginalPaper | Buchkapitel

Knowledge Sharing in Coalitions

verfasst von : Guifei Jiang, Dongmo Zhang, Laurent Perrussel

Erschienen in: AI 2015: Advances in Artificial Intelligence

Verlag: Springer International Publishing

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Abstract

The aim of this paper is to investigate the interplay between knowledge shared by a group of agents and its coalition ability. We characterize this relation in the standard context of imperfect information concurrent game. We assume that whenever a set of agents form a coalition to achieve a goal, they share their knowledge before acting. Based on this assumption, we propose a new semantics for alternating-time temporal logic with imperfect information and perfect recall. It turns out this semantics is sufficient to preserve all the desirable properties of coalition ability in traditional coalitional logics. Meanwhile, we also show that the fixed-point characterisations of coalition operators which normally fail in the context of imperfect information can be recovered through the interplay of epistemic and coalition modalities. This work provides a partial answer to the question: which kind of group knowledge is required for a group to achieve their goals in the context of imperfect information.

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Fußnoten
1
It is worth to mention that [23] proposed a way to embed actions to a state so that the state-based equivalence can achieve the same meaning.
 
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Metadaten
Titel
Knowledge Sharing in Coalitions
verfasst von
Guifei Jiang
Dongmo Zhang
Laurent Perrussel
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-26350-2_22