An Introduction to Constraint-Based Temporal Reasoning
An Introduction to Constraint-Based Temporal Reasoning
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DOI：
10.2200/s00557ed1v01y201312aim026
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发表时间：
2014-03
期刊：
影响因子：
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通讯作者：
R. Barták;R. Morris;K. Venable
中科院分区：
文献类型：
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作者：
R. Barták;R. Morris;K. Venable
自人工智能领域诞生以来，解决涉及时间的具有挑战性的计算问题一直是人工智能系统发展的关键组成部分。这本书提供了一个简明的介绍，在人工智能系统中用于规划和调度的时间推理的核心计算元素，以及从数据中提取时间信息的系统。它提出了基于约束的时间框架的调查，定性和定量，以及主要的时间一致性技术。本书还向读者介绍了核心模型的最新扩展，该模型允许人工智能系统明确地表示时间偏好和时间不确定性。本书面向对基于约束的时间推理感兴趣的学生和研究人员。它为时间的不同表示提供了一个独立的指南，以及最近在人工智能系统中应用时间的例子。
Solving challenging computational problems involving time has been a critical component in the development of artificial intelligence systems almost since the inception of the field. This book provides a concise introduction to the core computational elements of temporal reasoning for use in AI systems for planning and scheduling, as well as systems that extract temporal information from data. It presents a survey of temporal frameworks based on constraints, both qualitative and quantitative, as well as of major temporal consistency techniques. The book also introduces the reader to more recent extensions to the core model that allow AI systems to explicitly represent temporal preferences and temporal uncertainty. This book is intended for students and researchers interested in constraint-based temporal reasoning. It provides a self-contained guide to the different representations of time, as well as examples of recent applications of time in AI systems.