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Point-Based Approaches to Qualitative Temporal Reasoning

机译:基于点的定性时间推理方法

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摘要

We are interested in the problem of qualitative, point-based temporal reasoning. That is, given a set of assertions concerning the relative positions of points in time, we are interested in compiling the assertions into a representation that supports efficient reasoning, determining consistency, computing the strongest entailed relation between any two points and updating the set of assertions. We begin by considering a general set of operations and their corresponding algorithms, applicable to general point-based temporal domains. We also consider special-purpose reasoners, which may be expected to perform well in an application domain with a restricted structure. Lastly we consider reasoners which incorporate restricted structures into a more general reasoning framework. Finally, we present instances of each such approach and give a comparison of their performance on random data sets.
机译:我们对定性,基于点的时间推理问题感兴趣。也就是说,给定一组与时间点的相对位置有关的断言,我们有兴趣将这些断言编译成一种表示形式,以支持有效的推理,确定一致性,计算任意两个点之间最强的必然关系并更新断言集。我们首先考虑适用于一般基于点的时域的一般操作集及其相应算法。我们还考虑了特殊目的的推理程序,这些推理程序可能在结构受限的应用程序域中表现良好。最后,我们考虑将限制结构纳入更一般的推理框架的推理机。最后,我们介绍了每种此类方法的实例,并比较了它们在随机数据集上的性能。

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  • 来源
  • 会议地点 Singapore(SG);Singapore(SG)
  • 作者单位

    School of Computing Science, Simon Fraser University, Burnaby, B.C., Canada, V5A 1S6;

    School of Computing Science, Simon Fraser University, Burnaby, B.C., Canada, V5A 1S6;

    School of Computing Science, Simon Fraser University, Burnaby, B.C., Canada, V5A 1S6;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化系统理论;
  • 关键词

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