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Relative Information - Theories and Applications (Paperback, Softcover reprint of the original 1st ed. 1990)
Loot Price: R1,476
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Relative Information - Theories and Applications (Paperback, Softcover reprint of the original 1st ed. 1990)
Series: Springer Series in Synergetics, 47
Expected to ship within 10 - 15 working days
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For four decades, information theory has been viewed almost
exclusively as a theory based upon the Shannon measure of
uncertainty and information, usually referred to as Shannon
entropy. Since the publication of Shannon's seminal paper in 1948,
the theory has grown extremely rapidly and has been applied with
varied success in almost all areas of human endeavor. At this time,
the Shannon information theory is a well established and developed
body of knowledge. Among its most significant recent contributions
have been the use of the complementary principles of minimum and
maximum entropy in dealing with a variety of fundamental systems
problems such as predic tive systems modelling, pattern
recognition, image reconstruction, and the like. Since its
inception in 1948, the Shannon theory has been viewed as a
restricted information theory. It has often been argued that the
theory is capable of dealing only with syntactic aspects of
information, but not with its semantic and pragmatic aspects. This
restriction was considered a v~rtue by some experts and a vice by
others. More recently, however, various arguments have been made
that the theory can be appropriately modified to account for
semantic aspects of in formation as well. Some of the most
convincing arguments in this regard are in cluded in Fred Dretske's
Know/edge & Flow of Information (The M.LT. Press, Cambridge,
Mass., 1981) and in this book by Guy lumarie.
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