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Approximate reasoning about actions in presence of sensing and incomplete information

机译:在存在感知和不完整信息的情况下对动作的近似推理

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Sensing actions are important for plannign with incomplete informatio.A solution for the frame problem for sensing actiosn was proposed by Scherl and Levesque. They adapt the possible world model of knowledge to situation calculus. In this paper we propose a high level language in the spirit of the language A, that allows sensing actions. We then present two approximation semantics of this language and their translation to logic programs. Unlike, A, where states are two valued interpretations, and unlike the approach in Scherl and Levesque where states are Kripke models, in our approach states are three valued interpretations.
机译:感测动作对于信息不完整的计划工作很重要。Scherl和Levesque提出了一种感测肌动蛋白的框架问题的解决方案。他们将可能的世界知识模型调整为情境演算。在本文中,我们本着语言A的精神提出了一种高级语言,它允许感知动作。然后,我们介绍该语言的两种近似语义并将其翻译成逻辑程序。与A不同,状态是两个有价值的解释,而在Scherl和Levesque中,状态是Kripke模型的方法,与之不同,在我们的方法中,状态是三个有价值的解释。

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