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Introduction to Annotated Logics, Jair Minoro Abe; Seiki Akama; Kazumi Nakamatsu


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Автор: Jair Minoro Abe; Seiki Akama; Kazumi Nakamatsu
Название:  Introduction to Annotated Logics
ISBN: 9783319386867
Издательство: Springer
Классификация:

ISBN-10: 3319386867
Обложка/Формат: Paperback
Страницы: 190
Вес: 0.29 кг.
Дата издания: 09.10.2016
Серия: Intelligent Systems Reference Library
Язык: English
Размер: 234 x 156 x 11
Основная тема: Engineering
Подзаголовок: Foundations for Paracomplete and Paraconsistent Reasoning
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book is written as an introduction to annotated logics. It provides logical foundations for annotated logics, discusses some interesting applications of these logics and also includes the authors` contributions to annotated logics.


Theorem Proving in Higher Order Logics

Автор: Richard J. Boulton; Paul B. Jackson
Название: Theorem Proving in Higher Order Logics
ISBN: 354042525X ISBN-13(EAN): 9783540425250
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This volume constitutes the proceedings of the 14th International Conference on Theorem Proving in Higher Order Logics (TPHOLs 2001) held 3-6 September 2001 in Edinburgh, Scotland. TPHOLs 2001 was collocated with the 11th Advanced Research Working Conference on Correct Hardware Design and Veri?cation Methods (CHARME 2001).

Logics in Artificial Intelligence

Автор: Craig MacNish; David Pearce; Luis M. Pereira
Название: Logics in Artificial Intelligence
ISBN: 3540583327 ISBN-13(EAN): 9783540583325
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This book constitutes the proceedings of the 1994 European Workshop on Logics in Artificial Intelligence, held at York, UK in September 1994. The papers point out that, with the depth and maturity of formalisms and methodologies available in AI today, logics provide a formal basis for the study of the whole field of AI.

Logics in Artificial Intelligence

Автор: Steffen H?lldobler; Carsten Lutz; Heinrich Wansing
Название: Logics in Artificial Intelligence
ISBN: 3540878025 ISBN-13(EAN): 9783540878025
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Constitutes the proceedings of the 11th European Conference on Logics in Artificial Intelligence, JELIA 2008, held in Dresden, Germany, Liverpool, in September/October 2008. This title includes papers that cover topics including belief revision, description logics, non-monotonic reasoning, multi-agent systems, and probabilistic logic.

Introduction to Annotated Logics

Автор: Jair Minoro Abe; Seiki Akama; Kazumi Nakamatsu
Название: Introduction to Annotated Logics
ISBN: 331917911X ISBN-13(EAN): 9783319179117
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book is written as an introduction to annotated logics. It provides logical foundations for annotated logics, discusses some interesting applications of these logics and also includes the authors` contributions to annotated logics.

Logics in Artificial Intelligence

Автор: Loizos Michael; Antonis Kakas
Название: Logics in Artificial Intelligence
ISBN: 3319487574 ISBN-13(EAN): 9783319487571
Издательство: Springer
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Цена: 10342.00 р.
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Описание: The accepted papers span a number of areas within Logics in AI, including: belief revision, answer set programming, argumentation, probabilistic reasoning, handling inconsistencies, temporal logics and planning, description logics, and decidability and complexity results.

A New Perspective on Nonmonotonic Logics

Автор: Dov M. Gabbay; Karl Schlechta
Название: A New Perspective on Nonmonotonic Logics
ISBN: 3319468154 ISBN-13(EAN): 9783319468150
Издательство: Springer
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Цена: 15372.00 р.
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Описание: In this book the authors present new results on interpolation for nonmonotonic logics, abstract (function) independence, the Talmudic Kal Vachomer rule, and an equational solution of contrary-to-duty obligations. The chapter on formal construction is the conceptual core of the book, where the authors combine the ideas of several types of nonmonotonic logics and their analysis of 'natural' concepts into a formal logic, a special preferential construction that combines formal clarity with the intuitive advantages of Reiter defaults, defeasible inheritance, theory revision, and epistemic considerations.It is suitable for researchers in the area of computer science and mathematical logic.

Intuitionistic Fuzzy Logics

Автор: T. Atanassov
Название: Intuitionistic Fuzzy Logics
ISBN: 3319489526 ISBN-13(EAN): 9783319489520
Издательство: Springer
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Цена: 16769.00 р.
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Описание:

The book offers a comprehensive survey of intuitionistic fuzzy logics. By reporting on both the author’s research and others’ findings, it provides readers with a complete overview of the field and highlights key issues and open problems, thus suggesting new research directions. Starting with an introduction to the basic elements of intuitionistic fuzzy propositional calculus, it then provides a guide to the use of intuitionistic fuzzy operators and quantifiers, and lastly presents state-of-the-art applications of intuitionistic fuzzy sets. The book is a valuable reference resource for graduate students and researchers alike.
Models, Algorithms, Logics and Tools

Автор: Luca Aceto; Giorgio Bacci; Giovanni Bacci; Anna In
Название: Models, Algorithms, Logics and Tools
ISBN: 3319631209 ISBN-13(EAN): 9783319631202
Издательство: Springer
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Цена: 12577.00 р.
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Описание: During the last three decades, Kim Guldstrand Larsen has given major contributions across a remarkably wide range of topics, including real-time, concurrent, and probabilistic models of computation, logic in computer science, and model checking.

Logics in Artificial Intelligence

Автор: Eduardo Ferm?; Joao Leite
Название: Logics in Artificial Intelligence
ISBN: 331911557X ISBN-13(EAN): 9783319115573
Издательство: Springer
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Цена: 12298.00 р.
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Описание: This book constitutes the proceedings of the 14th European Conference on Logics in Artificial Intelligence, JELIA 2014, held in Funchal, Madeira, Portugal, in September 2014. The 35 full papers and 14 short papers included in this volume were carefully reviewed and selected from 121 submissions. logics for uncertain reasoning;

Handbook of Spatial Logics

Автор: Marco Aiello; Ian Pratt-Hartmann; Johan van Benthe
Название: Handbook of Spatial Logics
ISBN: 9402404708 ISBN-13(EAN): 9789402404708
Издательство: Springer
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Цена: 61352.00 р.
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Описание: The aim of this handbook is to create, for the first time, a systematic account of the field of spatial logic. Each chapter provides a self-contained overview of its topic, describing the principal results obtained to date, explaining the methods used to obtain them, and listing the most important open problems.

Adaptive Logics for Defeasible Reasoning

Автор: Christian Stra?er
Название: Adaptive Logics for Defeasible Reasoning
ISBN: 3319343882 ISBN-13(EAN): 9783319343884
Издательство: Springer
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Цена: 21661.00 р.
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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.


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