A MODEL-THEORETIC ANALYSIS OF KNOWLEDGE

被引:43
作者
FAGIN, R [1 ]
HALPERN, JY [1 ]
VARDI, MY [1 ]
机构
[1] WEIZMANN INST SCI,IL-76100 REHOVOT,ISRAEL
关键词
THEORY; COMMON KNOWLEDGE; DISTRIBUTED SYSTEMS; EPISTEMOLOGY; KNOWLEDGE; KNOWLEDGE STRUCTURES; KRIPKE STRUCTURE; MODAL LOGIC; POSSIBLE WORLDS; REASONING ABOUT KNOWLEDGE;
D O I
10.1145/103516.128680
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Understanding knowledge is a fundamental issue in many disciplines. In computer science, knowledge arises not only in the obvious contexts (such as knowledge-based systems), but also in distributed systems (where the goal is to have each processor "know" something, as in agreement protocols). A general semantic model of knowledge is introduced, to allow reasoning about statements such as "He knows that I know whether or not she knows whether or not it is raining." This approach more naturally models a state of knowledge than previous proposals (including Kripke structures). Using this notion of model, a model theory for knowledge is developed. This theory enables one to interpret the notion of a "finite amount of information."
引用
收藏
页码:382 / 428
页数:47
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