Case-Based Approximate Reasoning, Eyke H?llermeier

Автор: Kofi Kissi Dompere
Название: Fuzziness and Approximate Reasoning
ISBN: 3642099890 ISBN-13(EAN): 9783642099892
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This text explains the epistemic structure of the relationships among uncertainty, expectations, risk, possibility and probability. It then probes how fuzzy paradigm and fuzzy rationality bring new understanding to those relationships.

Автор: Lech Polkowski
Название: Approximate Reasoning by Parts
ISBN: 3642269850 ISBN-13(EAN): 9783642269851
Издательство: Springer
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Цена: 26120.00 р.
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Описание: The monograph offers a view on Rough Mereology, a tool for reasoning under uncertainty, which goes back to Mereology, formulated in terms of parts by Lesniewski, and borrows from Fuzzy Set Theory and Rough Set Theory ideas of the containment to a degree.

Автор: Stefania Montani
Название: Successful Case-based Reasoning Applications
ISBN: 3642264344 ISBN-13(EAN): 9783642264344
Издательство: Springer
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Цена: 19589.00 р.
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Описание: Case-based reasoning (CBR) is an artificial intelligence technique that provides a foundation for the capability of reasoning and learning in advanced decision support systems. This book is a collection of papers on the most recent CBR applications.

Автор: Goel
Название: Case-Based Reasoning Research and Development
ISBN: 3319470957 ISBN-13(EAN): 9783319470955
Издательство: Springer
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Цена: 9224.00 р.
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Описание: This book constitutes the refereed proceedings of the 24th International Conference on Case-Based Reasoning Research and Development, ICCBR 2016, held in Atlanta, GA, USA, in October/November 2016. The 14 revised full papers presented were carefully reviewed and selected from 44 submissions.

Автор: Lorraine McGinty; David C. Wilson
Название: Case-Based Reasoning Research and Development
ISBN: 3642029973 ISBN-13(EAN): 9783642029974
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book constitutes the refereed proceedings of the 8th International Conference on Case-Based Reasoning, ICCBR 2009, held in Seattle, WA, USA, in July 2009. The 17 revised full papers and 17 revised poster papers presented together with 2 invited talks were carefully reviewed and selected from 55 submissions.

Автор: Walton
Название: Goal-based Reasoning for Argumentation
ISBN: 1107119049 ISBN-13(EAN): 9781107119048
Издательство: Cambridge Academ
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Цена: 12670.00 р.
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Описание: Practical argumentation is intelligent reasoning from an agent`s goals and known circumstances, and from an action selected as a means, to arrive at a decision on what action to take. This book will appeal to a wide audience, from designers of multi-agent and robotics systems to social scientists.

Автор: Haemmerl?
Название: Graph-Based Representation and Reasoning
ISBN: 3319409840 ISBN-13(EAN): 9783319409849
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the proceedings of the 22th International Conference on Conceptual Structures, ICCS 2016, held in Annecy, France, in July 2016. The 14 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 40 submissions.

Автор: Magnani
Название: Model-Based Reasoning in Science and Technology
ISBN: 3319389823 ISBN-13(EAN): 9783319389820
Издательство: Springer
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Цена: 46118.00 р.
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Описание: This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important or creative changes in theories and concepts. It includes revised contributions presented during the international conference on Model-Based Reasoning (MBR’015), held on June 25-27 in Sestri Levante, Italy. The book is divided into three main parts, the first of which focuses on models, reasoning and representation. It highlights key theoretical concepts from an applied perspective, addressing issues concerning information visualization, experimental methods and design. The second part goes a step further, examining abduction, problem solving and reasoning. The respective contributions analyze different types of reasoning, discussing various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of historical, epistemological and technological issues. By analyzing possible contradictions in modern research and describing representative case studies in experimental research, this part aims at fostering new discussions and stimulating new ideas. All in all, the book provides researchers and graduate students in the field of applied philosophy, epistemology, cognitive science and artificial intelligence alike with an authoritative snapshot of current theories and applications of model-based reasoning.

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.