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Information Flow: The Logic of Distributed Systems
Contributor(s): Barwise, Jon (Author), Whatley (Author), Van Rijsbergen, C. J. (Editor)
ISBN: 0521583861     ISBN-13: 9780521583862
Publisher: Cambridge University Press
OUR PRICE:   $81.69  
Product Type: Hardcover - Other Formats
Published: July 1997
Qty:
Annotation: 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.
Additional Information
BISAC Categories:
- Computers | Reference
- Computers | Information Theory
- Computers | Programming Languages - General
Dewey: 004.36
LCCN: 96046111
Series: Cambridge Tracts in Theoretical Computer Science (Hardcover)
Physical Information: 0.81" H x 6.24" W x 9.29" (1.2 lbs) 292 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
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.