Model-Based Reasoning in Science and Technology, ?ngel Nepomuceno-Fern?ndez; Lorenzo Magnani; Franc

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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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.

Автор: Magnani
Название: Model-Based Reasoning in Science and Technology
ISBN: 3319389823 ISBN-13(EAN): 9783319389820
Издательство: Springer
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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: L. Magnani; N.J. Nersessian
Название: Model-Based Reasoning
ISBN: 1461351545 ISBN-13(EAN): 9781461351542
Издательство: Springer
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Описание: There are several key ingredients common to the various forms of model-based reasoning considered in this book. The models are intended as interpretations of target physical systems, processes, phenomena, or situations and are retrieved or constructed on the basis of potentially satisfying salient constraints of the target domain.

Автор: Stefania Montani
Название: Successful Case-based Reasoning Applications
ISBN: 3642264344 ISBN-13(EAN): 9783642264344
Издательство: Springer
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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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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: Lorenzo Magnani
Название: Model-Based Reasoning in Science and Technology
ISBN: 3662510553 ISBN-13(EAN): 9783662510551
Издательство: Springer
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Цена: 43184.00 р.
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Описание: This book contains contributions presented during the international conference on Model-Based Reasoning (MBR`012), held on June 21-23 in Sestri Levante, Italy.

Автор: Lorenzo Magnani
Название: Model-Based Reasoning in Science and Technology
ISBN: 3642374271 ISBN-13(EAN): 9783642374272
Издательство: Springer
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Описание: This book contains contributions presented during the international conference on Model-Based Reasoning (MBR`012), held on June 21-23 in Sestri Levante, Italy.

Автор: Lorenzo Magnani; Claudia Casadio
Название: Model-Based Reasoning in Science and Technology
ISBN: 3319817841 ISBN-13(EAN): 9783319817842
Издательство: Springer
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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.

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.

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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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: Richter Michael M.
Название: Case-Based Reasoning
ISBN: 364240166X ISBN-13(EAN): 9783642401664
Издательство: Springer
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Описание: This pioneering English-language textbook on case-based reasoning includes chapter summaries, background notes, and exercises. The class-tested, systematic presentation moves from core principles to methodology, advanced techniques, and knowledge sources.

Автор: Eyke H?llermeier
Название: Case-Based Approximate Reasoning
ISBN: 9048174317 ISBN-13(EAN): 9789048174317
Издательство: Springer
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Описание: Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR.