Introduction Constraint Based Temporal Reasoning by Barták Roman (15 results)
Language: English
Published by Springer, 2014
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning, Book 3 of 14. Book 3 of 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Published by Springer, 2014
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning, Book 3 of 14. Book 3 of 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Series: Synthesis Lectures on Artificial Intelligence and Machine Learning, Book 3 of 14. Book 3 of 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Language: English
Published by Springer, 2014
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning, Book 3 of 14. Book 3 of 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Language: English
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Language: English
Published by Springer, 2014
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning, Book 3 of 14. Book 3 of 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Language: English
Published by Springer International Publishing, 2014
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning, Book 3 of 14. Book 3 of 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 computation…al 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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Published by Springer, 2014
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning, Book 3 of 14. Book 3 of 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Taschenbuch. Condition: Neu. An Introduction to Constraint-Based Temporal Reasoning | Roman Barták (u. a.) | Taschenbuch | Synthesis Lectures on Artificial Intelligence and Machine Learning | xiii | Englisch | 2014 | Springer | EAN 9783031004391 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121…Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Morgan & Claypool Publishers, 2014
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning, Book 3 of 14. Book 3 of 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Language: English
Published by Springer, 2014
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning, Book 3 of 14. Book 3 of 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Language: English
Published by Springer International Publishing Mrz 2014, 2014
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning, Book 3 of 14. Book 3 of 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 124 pp. Englisch.
Language: English
Published by Springer, 2014
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning, Book 3 of 14. Book 3 of 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
- Softcover
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Language: English
Published by Springer, 2014
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning, Book 3 of 14. Book 3 of 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Language: English
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2014
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning, Book 3 of 14. Book 3 of 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 intro…duction to the core computational elemen.
Language: English
Published by Springer, Springer Mär 2014, 2014
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning, Book 3 of 14. Book 3 of 14 - Synthesis Lectures on Artificial Intelligence and Machine Learning
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 124 pp. Englisch.
