Information Flow: The Logic of Distributed Systems (Cambridge Tracts in Theoretical Computer Science) (英語) ハードカバー – 1997/7/28
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Information is a central topic in computer science, cognitive science and philosophy. In spite of its importance in the 'information age', there is no consensus on what information is, what makes it possible, and what it means for one medium to carry information about another. Drawing on ideas from mathematics, computer science and philosophy, this book addresses the definition and place of information in society. The authors, observing that information flow is possible only within a connected distribution system, provide a mathematically rigorous, philosophically sound foundation for a science of information. They illustrate their theory by applying it to a wide range of phenomena, from file transfer to DNA, from quantum mechanics to speech act theory.
"This important interdisciplinary text is ideal for graduate students and researchers in mathematics, computer science, philosophy, linguistics, logic, and cognitive science." Computing Reviews
"This iis an enjoyable book on information flow, an important recent topic in the study of logic, language and computation, enriching the science of information by a mathematically rigorous foundation." Mathematical Reviews
"...two thumbs up...." Complexity
"...an important book...useful...inspiring...accessible to most graduate students in logic, computer science, philosophy, mathematics, linguistics, and cognitive science. Everyone working in those areas will find material of interest in the book." Journal of Symbolic Logic
This is one of those books that should say "Some assembly required" on the cover.
I still think this is an important book, and that it deserves considerably more influence in academic philosophy, especially in the literature on causal process theories (developments of the work of Reichenbach and Salmon) and relations between theories in philosophy of science.
This isn't easy, and it's not obvious what it's useful for, but it's still very good. I'm not sure what the theoretical computer scientists make of it.