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Adaptive Logics for Defeasible Reasoning, Christian Stra?er


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Автор: Christian Stra?er
Название:  Adaptive Logics for Defeasible Reasoning
ISBN: 9783319343884
Издательство: Springer
Классификация:


ISBN-10: 3319343882
Обложка/Формат: Paperback
Страницы: 438
Вес: 0.63 кг.
Дата издания: 27.08.2016
Серия: Trends in Logic
Язык: English
Размер: 234 x 156 x 24
Основная тема: Philosophy
Подзаголовок: Applications in Argumentation, Normative Reasoning and Default Reasoning
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents adaptive logics (ALs) as an intuitive and powerful framework to model defeasible reasoning. It offers case studies stemming from various contexts of defeasible reasoning, such as default reasoning, argumentation, and normative reasoning.


Machine Learning, Meta-Reasoning and Logics

Автор: Pavel B. Brazdil; Kurt Konolige
Название: Machine Learning, Meta-Reasoning and Logics
ISBN: 0792390474 ISBN-13(EAN): 9780792390473
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This book contains a selection of papers presented at the International Workshop Machine Learning, Meta-Reasoning and Logics held in Hotel de Mar in Sesimbra, Portugal, 15-17 February 1988. Meta-Reasoning and Machine Learning The first chapter is concerned with the role meta-reasoning plays in intelligent systems capable of learning.

Adaptive Logics for Defeasible Reasoning

Автор: Christian Stra?er
Название: Adaptive Logics for Defeasible Reasoning
ISBN: 3319007912 ISBN-13(EAN): 9783319007915
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents adaptive logics (ALs) as an intuitive and powerful framework to model defeasible reasoning. It offers case studies stemming from various contexts of defeasible reasoning, such as default reasoning, argumentation, and normative reasoning.

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).

Handbook of Defeasible Reasoning and Uncertainty Management Systems

Автор: Dov M. Gabbay; Philippe Smets
Название: Handbook of Defeasible Reasoning and Uncertainty Management Systems
ISBN: 9048156033 ISBN-13(EAN): 9789048156030
Издательство: Springer
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Цена: 36197.00 р.
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Описание: Reasoning under uncertainty is always based on a specified language or for- malism, including its particular syntax and semantics, but also on its associated inference mechanism. This is even to some degree reflected in the two first chapters, which treat fundamental, general methods of computation in systems designed to represent uncertainty.

Defeasible Deontic Logic

Автор: Donald Nute
Название: Defeasible Deontic Logic
ISBN: 904814874X ISBN-13(EAN): 9789048148745
Издательство: Springer
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Цена: 27251.00 р.
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Описание: Relevant to philosophy, law, management, and artificial intelligence, these papers explore the applicability of nonmonotonic or defeasible logic to normative reasoning. The resulting systems purport to solve well-known deontic paradoxes and to provide a better treatment than classical deontic logic does of prima facie obligation, conditional obligation, and priorities of normative principles.

Agent-Based Defeasible Control in Dynamic Environments

Автор: John-Jules Ch. Meyer; Jan Treur
Название: Agent-Based Defeasible Control in Dynamic Environments
ISBN: 9048161096 ISBN-13(EAN): 9789048161096
Издательство: Springer
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Цена: 35218.00 р.
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Описание: This volume, the 7th volume in the DRUMS Handbook series, is part of the aftermath of the successful ESPRIT project DRUMS (Defeasible Reasoning and Uncertainty Management Systems) which took place in two stages from 1989- 1996. In the second stage (1993-1996) a work package was introduced devoted to the topics Reasoning and Dynamics, covering both the topics of "Dynamics of Reasoning," where reasoning is viewed as a process, and "Reasoning about Dynamics," which must be understood as pertaining to how both designers of and agents within dynamic systems may reason about these systems. The present volume presents work done in this context extended with some work done by outstanding researchers outside the project on related issues. While the previous volume in this series had its focus on the dynamics of reasoning pro- cesses, the present volume is more focused on "reasoning about dynamics', viz. how (human and artificial) agents reason about (systems in) dynamic environments in order to control them. In particular we consider modelling frameworks and generic agent models for modelling these dynamic systems and formal approaches to these systems such as logics for agents and formal means to reason about agent- based and compositional systems, and action & change more in general. We take this opportunity to mention that we have very pleasant recollections of the project, with its lively workshops and other meetings, with the many sites and researchers involved, both within and outside our own work package.

A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications

Автор: Naeem Khalid Janjua
Название: A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications
ISBN: 3319039482 ISBN-13(EAN): 9783319039480
Издательство: Springer
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Цена: 25155.00 р.
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Описание: This book describes a semantic web-based approach for addressing the problem of decision making when information is coming from multiple information sources and is incomplete and/or contradictory.

A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications

Автор: Naeem Khalid Janjua
Название: A Defeasible Logic Programming-Based Framework to Support Argumentation in Semantic Web Applications
ISBN: 3319381709 ISBN-13(EAN): 9783319381701
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This book describes a semantic web-based approach for addressing the problem of decision making when information is coming from multiple information sources and is incomplete and/or contradictory.

Defeasible Deontic Logic

Автор: Donald Nute
Название: Defeasible Deontic Logic
ISBN: 0792346300 ISBN-13(EAN): 9780792346302
Издательство: Springer
Рейтинг:
Цена: 27251.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Relevant to philosophy, law, management, and artificial intelligence, this book explores the applicability of defeasible logic to normative reasoning. The resulting systems provide a better treatment than classical deontic logic does of prima facie obligation, conditional obligation, and priorities of normative principles.

Fuzzy Sets, Logics and Reasoning about Knowledge

Автор: Didier Dubois; Henri Prade; Erich Peter Klement
Название: Fuzzy Sets, Logics and Reasoning about Knowledge
ISBN: 9048153247 ISBN-13(EAN): 9789048153244
Издательство: Springer
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Цена: 27944.00 р.
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Описание: Fuzzy Sets, Logics and Reasoning about Knowledge reports recent results concerning the genuinely logical aspects of fuzzy sets in relation to algebraic considerations, knowledge representation and commonsense reasoning.

Machine Learning, Meta-Reasoning and Logics

Автор: Pavel B. Brazdil; Kurt Konolige
Название: Machine Learning, Meta-Reasoning and Logics
ISBN: 1461289068 ISBN-13(EAN): 9781461289067
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book contains a selection of papers presented at the International Workshop Machine Learning, Meta-Reasoning and Logics held in Hotel de Mar in Sesimbra, Portugal, 15-17 February 1988. Meta-Reasoning and Machine Learning The first chapter is concerned with the role meta-reasoning plays in intelligent systems capable of learning.

Fuzzy Sets, Logics and Reasoning about Knowledge

Автор: Didier Dubois; Henri Prade; Erich Peter Klement
Название: Fuzzy Sets, Logics and Reasoning about Knowledge
ISBN: 0792359771 ISBN-13(EAN): 9780792359777
Издательство: Springer
Рейтинг:
Цена: 27944.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Features results concerning the genuinely logical aspects of fuzzy sets in relation to algebraic considerations, knowledge representation and commonsense reasoning. This work offers a look at multiple-valued and fuzzy set-based logics, in an artificial intelligence perspective.


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