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Titlebook: An Introduction to Constraint-Based Temporal Reasoning; Roman Barták,Robert A. Morris,K. Brent Venable Book 2014 Springer Nature Switzerla

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期刊全稱An Introduction to Constraint-Based Temporal Reasoning
影響因子2023Roman Barták,Robert A. Morris,K. Brent Venable
視頻videohttp://file.papertrans.cn/156/155191/155191.mp4
學(xué)科分類Synthesis Lectures on Artificial Intelligence and Machine Learning
圖書(shū)封面Titlebook: An Introduction to Constraint-Based Temporal Reasoning;  Roman Barták,Robert A. Morris,K. Brent Venable Book 2014 Springer Nature Switzerla
影響因子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.
Pindex Book 2014
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Peter Buxmann,Heiner Diefenbach,Thomas Hesss such as “reading newspapers” and “having a breakfast” that span over an interval of time and that are related to each other, as expressed in sentences such as “I read the newspaper during breakfast.”
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Temporal Frameworks Based on Constraints,s such as “reading newspapers” and “having a breakfast” that span over an interval of time and that are related to each other, as expressed in sentences such as “I read the newspaper during breakfast.”
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Book 2014students 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.
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Extensions: Preferences and Uncertainty,riables are assumed to be under the control of the executing agent and no uncertainty on when events occur or on which events occur is taken into account. The extensions we will now describe tackle precisely these limitations.
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發(fā)表于 2025-3-23 08:42:12 | 只看該作者
,Strategien für Softwareanbieter,Physics teaches us that time is fundamental to the understanding of the material world. Continuous physical processes like waves, flows, and oscillations are characterized in terms of changes, and rates of change, of the world over time.
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