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An Experimental Study of Reasoning with Sequences of Point Events

机译:点事件序列推理的实验研究

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摘要

Interval and point algebras are two influential frameworks to model an interval and point based temporal entities. However, in many real world situations we often encounter recurring events that include multiple points, multiple intervals or combinations of points and intervals. Recently, point-based frameworks (MPE [9] and GMPE [10]) for representing and reasoning with sequences of point events have been proposed. These frameworks include new algorithms for solving reasoning tasks with an improved complexity. However, no empirical investigation has been made yet. This paper presents an experimental study of these two frameworks. In this study, we present the design of experiments, implementation of the algorithms, and an empirical performance analysis. Our results indicate that the MPE and GMPE frameworks are not only expressively richer, but also perform better than the traditional approaches to temporal reasoning.
机译:间隔和点代数是两个有影响力的框架,用于对基于间隔和点的时间实体进行建模。但是,在许多现实世界中,我们经常会遇到重复事件,包括多个点,多个间隔或点与间隔的组合。最近,已经提出了基于点的框架(MPE [9]和GMPE [10])来表示和推理点事件的序列。这些框架包括用于解决推理任务的新算法,具有更高的复杂性。但是,尚未进行任何实证研究。本文介绍了这两个框架的实验研究。在这项研究中,我们介绍了实验设计,算法的实现以及经验性能分析。我们的结果表明,MPE和GMPE框架不仅在表达上更加丰富,而且比传统的时间推理方法表现更好。

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

    Knowledge Representation and Reasoning Unit School of Computing and Information Technology, Griffith University, NATHAN, Brisbane, 4111 AUSTRALIA;

    Knowledge Representation and Reasoning Unit School of Computing and Information Technology, Griffith University, NATHAN, Brisbane, 4111 AUSTRALIA;

    Knowledge Representation and Reasoning Unit School of Computing and Information Technology, Griffith University, NATHAN, Brisbane, 4111 AUSTRALIA;

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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;
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