On the Progression of Knowledge in Multiagent Systems

被引:0
|
作者
Belle, Vaishak [1 ]
Lakemeyer, Gerhard [1 ,2 ]
机构
[1] Univ Toronto, Dept Comp Sci, Toronto, ON M5S 3H5, Canada
[2] Rhein Westfal TH Aachen, Dept Comp Sci, D-52056 Aachen, Germany
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In a seminal paper, Lin and Reiter introduced the progression of basic action theories in the situation calculus. In this paper, we study the progression of knowledge in multiagent settings, where after actions, an agent updates her beliefs but also updates what she believes other agents know given what has occurred. By appealing to the notion of only knowing, we are able to avoid limitations of earlier work on multiagent progression, and obtain a new general account: we show that after an action, knowledge bases are updated in a Lin and Reiter fashion at every nesting of modalities. Consequently, recent results on the first-order definability of progression carry over to a multiagent setting without too much effort.
引用
收藏
页码:590 / 593
页数:4
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