An Introduction to Constraint-Based Temporal Reasoning

Nonfiction, Computers, Advanced Computing, Theory, Artificial Intelligence, General Computing
Cover of the book An Introduction to Constraint-Based Temporal Reasoning by Robert A. Morris, Roman Barták, K. Brent Venable, Morgan & Claypool Publishers
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Author: Robert A. Morris, Roman Barták, K. Brent Venable ISBN: 9781681731773
Publisher: Morgan & Claypool Publishers Publication: February 1, 2014
Imprint: Morgan & Claypool Publishers Language: English
Author: Robert A. Morris, Roman Barták, K. Brent Venable
ISBN: 9781681731773
Publisher: Morgan & Claypool Publishers
Publication: February 1, 2014
Imprint: Morgan & Claypool Publishers
Language: English

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.

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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.

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