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Reasoning about knowledge, Fagin, Ronald Halpern, Joseph Y. Moses, Yoram Vard


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Цена: 10157.00р.
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Автор: Fagin, Ronald Halpern, Joseph Y. Moses, Yoram Vard
Название:  Reasoning about knowledge
ISBN: 9780262562003
Издательство: MIT Press
Классификация:


ISBN-10: 0262562006
Обложка/Формат: Paperback
Страницы: 533
Вес: 0.87 кг.
Дата издания: 06.02.2004
Серия: A bradford book
Язык: English
Иллюстрации: 13 illus.; 13 illustrations, unspecified
Размер: 229 x 178 x 25
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: США
Описание:

Reasoning about knowledge--particularly the knowledge of agents who reason about the world and each others knowledge--was once the exclusive province of philosophers and puzzle solvers. More recently, this type of reasoning has been shown to play a key role in a surprising number of contexts, from understanding conversations to the analysis of distributed computer algorithms. Reasoning About Knowledge is the first book to provide a general discussion of approaches to reasoning about knowledge and its applications to distributed systems, artificial intelligence, and game theory. It brings eight years of work by the authors into a cohesive framework for understanding and analyzing reasoning about knowledge that is intuitive, mathematically well founded, useful in practice, and widely applicable. The book is almost completely self-contained and should be accessible to readers in a variety of disciplines, including computer science, artificial intelligence, linguistics, philosophy, cognitive science, and game theory. Each chapter includes exercises and bibliographic notes.




Bayesian Reasoning and Machine Learning

Автор: Barber
Название: Bayesian Reasoning and Machine Learning
ISBN: 0521518148 ISBN-13(EAN): 9780521518147
Издательство: Cambridge Academ
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Цена: 11088.00 р.
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Описание: This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resources available online and in the comprehensive software package include computer code, demos and teaching materials for instructors.

Knowledge, Science and Relativism

Автор: P. K. Feyerabend
Название: Knowledge, Science and Relativism
ISBN: 0521057272 ISBN-13(EAN): 9780521057271
Издательство: Cambridge Academ
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Цена: 6653.00 р.
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Описание: This third volume of Paul Feyerabend`s philosophical papers, which gathers together work originally published betwee 1960 and 1980, offers a range of his characteristically exciting treatments of classic questions in the philosophy of science. The volume also includes a substantial introduction and a comprehensive list of Feyerabend`s works.

Theory of Knowledge

Автор: Dombrowski Eileen
Название: Theory of Knowledge
ISBN: 0199129738 ISBN-13(EAN): 9780199129737
Издательство: Oxford Education
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Цена: 8512.00 р.
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Описание: Build confident critical thinkers who can process and articulate complex ideas in relevant, real-life contexts. The inquiry-based approach drives independent thought and helps learners explore ideas, questions and perspectives, equipping them with a higher level of critical awareness. Developed directly with the IB for the 2013 TOK syllabus.

Knowledge Representation, Reasoning, and the Design of Intelligent Agents

Автор: Gelfond, M. and Kahl, Y.
Название: Knowledge Representation, Reasoning, and the Design of Intelligent Agents
ISBN: 1107029562 ISBN-13(EAN): 9781107029569
Издательство: Cambridge Academ
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Цена: 8078.00 р.
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Описание: This in-depth introduction for students and researchers shows how to use ASP for intelligent tasks, including answering queries, planning, and diagnostics.

Fear of Knowledge

Автор: Boghossian, Paul
Название: Fear of Knowledge
ISBN: 0199230412 ISBN-13(EAN): 9780199230419
Издательство: Oxford Academ
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Цена: 3325.00 р.
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Описание: The idea that science is just one more way of knowing the world and that there are other, radically different, yet equally valid ways, has taken deep root in academia. In Fear of Knowledge, Paul Boghossian tears these relativist theories of knowledge to shreds. He argues forcefully for the
intuitive, common-sense view--that the world exists independent of human opinion and that there is a way to arrive at beliefs about the world that are objectively reasonable to anyone capable of appreciating the relevant evidence, regardless of their social or cultural perspective. This short,
lucid, witty book shows that philosophy provides rock-solid support for common sense against the relativists; it is provocative reading throughout the discipline and beyond.


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