A Logic of Explicit and Implicit Distributed Belief

被引:2
作者
Herzig, Andreas [1 ]
Lorini, Emiliano [1 ]
Perrotin, Elise [2 ]
Romero, Fabian [2 ]
Schwarzentruber, Francois [3 ]
机构
[1] Toulouse Univ, IRIT CNRS, Toulouse, France
[2] Toulouse Univ, IRIT, Toulouse, France
[3] ENS Rennes, Rennes, France
来源
ECAI 2020: 24TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE | 2020年 / 325卷
关键词
KNOWLEDGE; COMPLETENESS; AGENTS;
D O I
10.3233/FAIA200163
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a new logic of explicit and implicit distributed belief with a formal semantics exploiting the notion of belief base. A coalition's distributed belief of explicit type corresponds to a piece of information contained in the collective belief base of the coalition, which is obtained by pooling together the individual belief bases of its members. A coalition's distributed belief of implicit type corresponds to a piece of information that is derivable from the collective belief base of the coalition. We study axiomatic aspects of our logic as well as complexity of model checking. As distributed belief can be inconsistent (contrary to distributed knowledge), we also study a consistency-preserving variant of distributed belief inspired by the literature on belief merging.
引用
收藏
页码:753 / 760
页数:8
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