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Reasoning About Knowledge

By: Fagin, Ronald.
Material type: materialTypeLabelBookPublisher: Cambridge Mit Press 1995Description: xiii;477 hb 9.5x7.5.ISBN: 0262061627.Subject(s): Knowledge, Theory of | Agent (Philosophy) | ReasoningDDC classification: 153.43 Summary: Reasoning about knowledge - particularly the knowledge of agents who reason about the world and each other's 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" provides 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.
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Item type Current location Collection Call number Status Date due Barcode Item holds
Book Book Psychology Book 153.43/Fag (Browse shelf) Available 9781
Book Book Psychology Book 153.43/Fag (Browse shelf) Available 9914
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Reasoning about knowledge - particularly the knowledge of agents who reason about the world and each other's 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" provides 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.

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