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HANDLING UNCERTAIN INTERVAL RELATIONS

机译:处理不确定的时间间隔关系

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Representation and reasoning about temporal information is important in many areas of AI. In many situations there is a need to deal with temporal relations, however, information about temporal relations might not always be perfect. In this paper we propose one way to represent uncertain temporal relations between temporal points and intervals using a probabilistic approach. Our representation for uncertain temporal relation between two primitives includes probabilities for the basic temporal relations that can hold between these primitives. We further propose three reasoning operations: inversion, composition, and addition. After that, we show how to translate uncertain interval relations using Allen's representation into the representation using the relations between the endpoints of these intervals, which can simplify further reasoning in some practical situations.
机译:时间信息的表示和推理在AI的许多领域都很重要。在许多情况下,需要处理时间关系,但是,关于时间关系的信息可能并不总是完美的。在本文中,我们提出了一种使用概率方法来表示时间点和时间间隔之间的不确定时间关系的方法。我们对两个基元之间不确定的时间关系的表示包括这些基元之间可以保持的基本时间关系的概率。我们进一步提出了三种推理操作:反演,合成和加法。之后,我们展示了如何将使用艾伦表示的不确定区间关系转换为使用这些区间的端点之间的关系的表示,这可以简化某些实际情况下的进一步推理。

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