Resolving Distributed Knowledge

June 24, 2016 ยท The Ethereal ยท ๐Ÿ› Artificial Intelligence

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Authors Thomas ร…gotnes, Yรฌ N. Wรกng arXiv ID 1606.07515 Category cs.LO: Logic in CS Cross-listed cs.AI, cs.MA Citations 53 Venue Artificial Intelligence Last Checked 2 months ago
Abstract
Distributed knowledge is the sum of the knowledge in a group; what someone who is able to discern between two possible worlds whenever any member of the group can discern between them, would know. Sometimes distributed knowledge is referred to as the potential knowledge of a group, or the joint knowledge they could obtain if they had unlimited means of communication. In epistemic logic, the formula D_Gฯ† is intended to express the fact that group G has distributed knowledge of ฯ†, that there is enough information in the group to infer ฯ†. But this is not the same as reasoning about what happens if the members of the group share their information. In this paper we introduce an operator R_G, such that R_Gฯ† means that ฯ† is true after G have shared all their information with each other - after G's distributed knowledge has been resolved. The R_G operators are called resolution operators. Semantically, we say that an expression R_Gฯ† is true iff ฯ† is true in what van Benthem [11, p. 249] calls (G's) communication core; the model update obtained by removing links to states for members of G that are not linked by all members of G. We study logics with different combinations of resolution operators and operators for common and distributed knowledge. Of particular interest is the relationship between distributed and common knowledge. The main results are sound and complete axiomatizations.
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