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A graph-theoretic approach to efficiently reason about partially ordered events in the Event Calculus

机译:在事件演算中有效论证部分有序事件的图论方法

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We exploit graph-theoretic techniques to efficiently reason about partially ordered events in the Event Calculus. We replace the traditional generate-and-test reasoning strategy by a more efficient generate-only one that operates on the underlying directed acyclic graph of events representing ordering information by pairing breadth-first and depth-first visits in a suitable way. We prove the soundness and completeness of the proposed strategy, and thoroughly analyze its computational complexity. Furthermore, we show how it can be generalized to deal with the Modal Event Calculus, that provides a uniform modal framework for the basic Event Calculus and its skeptical and credulous variants.
机译:我们利用图形理论技术,以有效地理解事件微积分中的部分有序事件。我们通过更高效的生成 - 仅在底层定向的事件的底层定向的非循环图上替换传统的生成和测试推理策略,通过以合适的方式配对宽度第一和深度首先访问来表示订购信息的事件的底层定向的非线性图。我们证明了拟议策略的健全性和完整性,并彻底分析了其计算复杂性。此外,我们展示了如何概括地处理模态事件计算,为基本事件微积分提供统一的模态框架及其怀疑和轻信的变体。

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