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Introduction Constraint Based Temporal Reasoning by Bartįk Roman (15 results)
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Condition: As New. Unread book in perfect condition.
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An Introduction to Constraint-Based Temporal Reasoning (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Book 3 of 14: Synthesis Lectures on Artificial Intelligence and Machine LearningSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 33.39
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In English.
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An Introduction to Constraint-Based Temporal Reasoning
Book 3 of 14: Synthesis Lectures on Artificial Intelligence and Machine LearningSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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An Introduction to Constraint-Based Temporal Reasoning
Book 3 of 14: Synthesis Lectures on Artificial Intelligence and Machine LearningSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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An Introduction to Constraint-Based Temporal Reasoning
Book 3 of 14: Synthesis Lectures on Artificial Intelligence and Machine LearningLanguage: English
Published by Springer International Publishing, 2014
ISBN 10: 3031004396 ISBN 13: 9783031004391
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 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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Taschenbuch. Condition: Neu. An Introduction to Constraint-Based Temporal Reasoning | Roman Bartįk (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.
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An Introduction to Constraint-Based Temporal Reasoning (Synthesis Lectures on Artificial Intelligence and Machine Learning, 26)
Book 3 of 14: Synthesis Lectures on Artificial Intelligence and Machine LearningLanguage: English
Published by Morgan & Claypool Publishers, 2014
ISBN 10: 1608459675 ISBN 13: 9781608459674
paperback. Condition: Very Good. Very Good. Dust Jacket may NOT BE INCLUDED.CDs may be missing. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: new. Questo č un articolo print on demand.
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An Introduction to Constraint-Based Temporal Reasoning
Book 3 of 14: Synthesis Lectures on Artificial Intelligence and Machine LearningLanguage: English
Published by Springer International Publishing Mrz 2014, 2014
ISBN 10: 3031004396 ISBN 13: 9783031004391
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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.
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An Introduction to Constraint-Based Temporal Reasoning
Book 3 of 14: Synthesis Lectures on Artificial Intelligence and Machine LearningLanguage: English
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2014
ISBN 10: 3031004396 ISBN 13: 9783031004391
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 introduction to the core computational elemen.
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An Introduction to Constraint-Based Temporal Reasoning
Book 3 of 14: Synthesis Lectures on Artificial Intelligence and Machine LearningLanguage: English
Published by Springer, Springer Mär 2014, 2014
ISBN 10: 3031004396 ISBN 13: 9783031004391
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
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.
