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Abduction and Induction, P.A. Flach; Antonis Hadjiantonis


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Цена: 27251.00р.
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Автор: P.A. Flach; Antonis Hadjiantonis
Название:  Abduction and Induction
ISBN: 9780792362500
Издательство: Springer
Классификация:

ISBN-10: 0792362500
Обложка/Формат: Hardcover
Страницы: 309
Вес: 0.64 кг.
Дата издания: 30.04.2000
Серия: Applied Logic Series
Язык: English
Размер: 234 x 156 x 19
Основная тема: Mathematics
Подзаголовок: Essays on their Relation and Integration
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: From the very beginning of their investigation of human reasoning, philosophers have identified two other forms of reasoning, besides deduction, which is called as abduction and induction. This book addresses the relationship between abduction and induction and their possible integration, and is for philosophers, logicians, and AI researchers.


Handbook Of Mathematical Induction

Автор: Gunderson
Название: Handbook Of Mathematical Induction
ISBN: 113819901X ISBN-13(EAN): 9781138199019
Издательство: Taylor&Francis
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Цена: 7961.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Handbook of Mathematical Induction: Theory and Applications shows how to find and write proofs via mathematical induction. This comprehensive book covers the theory, the structure of the written proof, all standard exercises, and hundreds of application examples from nearly every area of mathematics.

In the first part of the book, the author discusses different inductive techniques, including well-ordered sets, basic mathematical induction, strong induction, double induction, infinite descent, downward induction, and several variants. He then introduces ordinals and cardinals, transfinite induction, the axiom of choice, Zorn's lemma, empirical induction, and fallacies and induction. He also explains how to write inductive proofs.

The next part contains more than 750 exercises that highlight the levels of difficulty of an inductive proof, the variety of inductive techniques available, and the scope of results provable by mathematical induction. Each self-contained chapter in this section includes the necessary definitions, theory, and notation and covers a range of theorems and problems, from fundamental to very specialized.

The final part presents either solutions or hints to the exercises. Slightly longer than what is found in most texts, these solutions provide complete details for every step of the problem-solving process.

Induction, Algorithmic Learning Theory, and Philosophy

Автор: Mich?le Friend; Norma B. Goethe; Valentina S. Hari
Название: Induction, Algorithmic Learning Theory, and Philosophy
ISBN: 9048175445 ISBN-13(EAN): 9789048175444
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference.

Automated Mathematical Induction

Автор: Hantao Zhang
Название: Automated Mathematical Induction
ISBN: 9401072507 ISBN-13(EAN): 9789401072502
Издательство: Springer
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Цена: 19564.00 р.
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Описание: It has been shown how the common structure that defines a family of proofs can be expressed as a proof plan [5]. A proof plan has two complementary components: a proof method and a proof tactic. By prescribing the structure of a proof at the level of primitive inferences, a tactic [11] provides the guarantee part of the proof.

Iconicity and Abduction

Автор: Caterina
Название: Iconicity and Abduction
ISBN: 3319442449 ISBN-13(EAN): 9783319442440
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book consolidates and extends the authors’ work on the connection between iconicity and abductive inference. It emphasizes a pragmatic, experimental and fallibilist view of knowledge without sacrificing formal rigor. Within this context, the book focuses particularly on scientific knowledge and its prevalent use of mathematics. To find an answer to the question “What kind of experimental activity is the scientific employment of mathematics?” the book addresses the problems involved in formalizing abductive cognition. For this, it implements the concept and method of iconicity, modeling this theoretical framework mathematically through category theory and topoi. Peirce's concept of iconic signs is treated in depth, and it is shown how Peirce's diagrammatic logical notation of Existential Graphs makes use of iconicity and how important features of this iconicity are representable within category theory. Alain Badiou’s set-theoretical model of truth procedures and his relational sheaf-based theory of phenomenology are then integrated within the Peircean logical context. Finally, the book opens the path towards a more naturalist interpretation of the abductive models developed in Peirce and Badiou through an analysis of several recent attempts to reformulate quantum mechanics with categorical methods. Overall, the book offers a comprehensive and rigorous overview of past approaches to iconic semiotics and abduction, and it encompasses new extensions of these methods towards an innovative naturalist interpretation of abductive reasoning.

Induction, Algorithmic Learning Theory, and Philosophy

Автор: Mich?le Friend; Norma B. Goethe; Valentina S. Hari
Название: Induction, Algorithmic Learning Theory, and Philosophy
ISBN: 1402061269 ISBN-13(EAN): 9781402061264
Издательство: Springer
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Цена: 27251.00 р.
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Описание: Includes essays that provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic of algorithmic learning theory and the epistemology of science, both from a philosophical and a mathematical viewpoint.


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