Reasoning About Belief based on Common Knowledge of Observability of Actions




Intelligent agents should regard other agents' thoughts. If they can guess what you think with-out asking you, they should do so. We human beings notice other people's thoughts without di-rect communication. One's thoughts depend on one's belief. However, reasoning about belief is very difficult because various factors affect be-lief and they often lead to inconsistency. This paper presents a simple algorithm to calculate multiagent nested belief from an action sequence. The following three factors are essential in this algorithm: 1) the observability conditions of flu-ents and actions, 2) the direct/indirect effects of each action, and 3) the incompatibility of flu-ents, The algorithm performs regressive reason-ing from a query. It has been tested by dozens of examples through a graphic interface. Exper-iments show the system gives plausible answers to various queries. This method will be useful in the construction of plan recognition systems and other advanced systems.
机译:智能代理人应该将其他代理商的想法。如果他们能猜出你的想法,请问你,他们应该这样做。我们人类会注意其他人的思想,没有直接沟通。一个人的想法取决于一个人的信仰。然而,关于信仰的推理非常困难,因为各种因素影响是跛脚,他们经常导致不一致。本文介绍了一种简单的算法,可以从动作序列计算多元嵌套信念。以下三个因素在本算法中必不可少:1)流感的可观察性条件和动作,2)每种动作的直接/间接效应,以及3)流感的不相容性,该算法执行回归原理从查询。它通过图形界面进行了几十个例子。 eval-iments显示系统给各种查询的合理答案。该方法将在建造计划识别系统和其他先进系统中有用。



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