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Title: | Reasoning About Knowledge |
Author: | Ronald Fagin, Joseph Y. Halpern, Yoram Moses, and Moshe Y. Vardi |
Publisher: | pub-mit |
Year: | 1995 |
ISBN: | 0262061627 |
Abstract: | 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 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 |
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@Book{ reasoning:about:knowledge,
author = {Ronald Fagin and Joseph Y. Halpern and Yoram Moses
and Moshe Y. Vardi },
title = {Reasoning About Knowledge},
googleid = {phcEQyGqBGwJ:scholar.google.com/},
publisher = pub-mit,
address = pub-mit:adr,
year = 1995,
abstract = {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 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},
keywords = {logic},
isbn = {0262061627},
cluster = {7783533115838044070}
}
Last modified: Wed Mar 9 10:13:57 EST 2011