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Reasoning and Revision in Hybrid Representation Systems, Bernhard Nebel


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Автор: Bernhard Nebel
Название:  Reasoning and Revision in Hybrid Representation Systems
ISBN: 9783540524434
Издательство: Springer
Классификация:
ISBN-10: 3540524436
Обложка/Формат: Paperback
Страницы: 274
Вес: 0.41 кг.
Дата издания: 21.03.1990
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Размер: 234 x 156 x 15
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии


Graph-Based Representation and Reasoning

Автор: Nathalie Hernandez; Robert J?schke; Madalina Croit
Название: Graph-Based Representation and Reasoning
ISBN: 3319083880 ISBN-13(EAN): 9783319083889
Издательство: Springer
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Цена: 10201.00 р.
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Описание: This book constitutes the proceedings of the 21st International Conference on Conceptual Structures, ICCS 2014, held in Iasi, Romania, in July 2014.

Knowledge Representation and Defeasible Reasoning

Автор: Henry E. Kyburg Jr.; R.P. Loui; G.N. Carlson
Название: Knowledge Representation and Defeasible Reasoning
ISBN: 9401067368 ISBN-13(EAN): 9789401067362
Издательство: Springer
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Цена: 12157.00 р.
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Описание: These difficulties fall into four principal areas: defeasible reasoning (including the frame problem as apart), ordinary language (and the representation prob- lems that it generates), the revision of beliefs (and its rules of inference), and knowledge representation (and the logical problems that are encountered there).

Graph Structures for Knowledge Representation and Reasoning

Автор: Madalina Croitoru; Pierre Marquis; Sebastian Rudol
Название: Graph Structures for Knowledge Representation and Reasoning
ISBN: 331928701X ISBN-13(EAN): 9783319287010
Издательство: Springer
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Цена: 5590.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2015, held in Buenos Aires, Argentina, in July 2015, associated with IJCAI 2015, the 24th International Joint Conference on Artificial Intelligence.

Foundations of Knowledge Representation and Reasoning

Автор: Gerhard Lakemeyer; Bernhard Nebel
Название: Foundations of Knowledge Representation and Reasoning
ISBN: 3540581073 ISBN-13(EAN): 9783540581079
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This volume provides a report on current research in the area of knowledge representation, a central subfield of artificial intelligence. The papers grew out of a workshop held in conjunction with the 10th European Conference on Artificial Intelligence, held in Vienna in 1992.

Diagnostic Test Approaches To Machine Learning And Commonsense Reasoning Systems

Автор: Naidenova & Shagalov
Название: Diagnostic Test Approaches To Machine Learning And Commonsense Reasoning Systems
ISBN: 1466619007 ISBN-13(EAN): 9781466619005
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and compares the most effective algorithms for mining all kinds of logical rules. Global academics and professionals in related fields have come together to create this unique knowledge-sharing resources which will serve as a forum for future collaborations.

Probabilistic Reasoning in Intelligent Systems,

Автор: Judea Pearl
Название: Probabilistic Reasoning in Intelligent Systems,
ISBN: 1558604790 ISBN-13(EAN): 9781558604797
Издательство: Elsevier Science
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Цена: 9599.00 р.
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Описание:

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.

The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.


Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.

Spatial Representation and Reasoning for Robot Mapping

Автор: Diedrich Wolter
Название: Spatial Representation and Reasoning for Robot Mapping
ISBN: 3642088570 ISBN-13(EAN): 9783642088575
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This book addresses spatial representations and reasoning techniques for mobile robot mapping, providing an analysis of fundamental representations and processes involved. The book includes an extensive discussion of the literature.

Graph Structures for Knowledge Representation and Reasoning

Автор: Madalina Croitoru; Sebastian Rudolph; Stefan Woltr
Название: Graph Structures for Knowledge Representation and Reasoning
ISBN: 3319045334 ISBN-13(EAN): 9783319045337
Издательство: Springer
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Цена: 8803.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2013, held in Beijing, China, in August 2013, associated with IJCAI 2013, the 23rd International Joint Conference on Artificial Intelligence.

Knowledge Representation for Agents and Multi-Agent Systems

Автор: John-Jules Meyer; Jan M. Broersen
Название: Knowledge Representation for Agents and Multi-Agent Systems
ISBN: 3642053009 ISBN-13(EAN): 9783642053009
Издательство: Springer
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Цена: 9781.00 р.
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Описание: First International Workshop KRAMAS 2008 Sydney Australia September 17 2008 Revised Selected Papers. .

Advances in Reasoning-Based Image Processing Intelligent Systems

Автор: Roumen Kountchev; Kazumi Nakamatsu
Название: Advances in Reasoning-Based Image Processing Intelligent Systems
ISBN: 364244623X ISBN-13(EAN): 9783642446238
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Foregrounding contemporary techniques for reasoning-based image processing and analysis, the 14 chapters in this book are self-contained monographs covering a broad spectrum of complementary topics, all written by leading experts working in the field.

Reasoning in Event-Based Distributed Systems

Автор: Sven Helmer; Alexandra Poulovassilis; Fatos Xhafa
Название: Reasoning in Event-Based Distributed Systems
ISBN: 3642267866 ISBN-13(EAN): 9783642267864
Издательство: Springer
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Цена: 26120.00 р.
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Описание: Event-based distributed systems are playing an increasingly important role in a broad range of application domains. This book presents a thorough review of reasoning in event-based distributed systems. It also contains new research and extensive references.

Domain-Level Reasoning for Spoken Dialogue Systems

Автор: Dirk B?hler; Wolfgang Minker
Название: Domain-Level Reasoning for Spoken Dialogue Systems
ISBN: 1489991484 ISBN-13(EAN): 9781489991485
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This volume provides a logic-based reasoning component for spoken language dialogue systems. The text describes late-breaking research on next-generation spoken dialogue systems and investigates how to improve them.


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