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The theory of Information Website Review

Review by : Kishhh
Visits : 13  words: 600   Published: April 06, 2008
This abstract was translated from La théorie de l'information
The theory of Information. The theory of Information results from jobs of Ronald Aylmer Fisher initially. Statistician, he defines information officially in his theory of likelihood and samples. Technically, information is equal to the medium value of the square of the stemming of the logarithm of the law of studied likelihood.From the inequality of Cramer, the value of such information is proportional to the weak changeability of resultant conclusions. In other words, Fisher puts in contact information with the degree of certainty. Other mathematical models supplemented and spread the definition of information in a definite manner. Claude Shannon and Waren Weaver reinforce the paradigm. Engineers in telecommunications, their technical concerns leads it to want to measure information to deduct from it the fundamental of communication (and not a theory of information). In Mathematical Theory of Communication in 1948, they model information to study corresponding laws: noise, entropy and chaos, by analogy dress rehearsal in the laws of energetics and thermodynamics. Their supplementing jobs those of Alan Turing, Norbert Wiener and John von Neumann (to name only the main) constitute the initial plinth of the " Sciences of Information ". Computer science being only a technological declension for the automatization of treatments (which transmission and transport) of information, to consider " sciences of computer science " is wrong. The appelation " Technologies of Information and Communication " recuperates the different components better (systems of treatments, networks, etc) of computer science in the broad sense. The sciences of information lean in most cases on two characteristic notions which are the variation of uncertainty and entropy (riot in the sense of absence of on the whole considered order and therefore of law, where from indecision). Declining these principles and those of other hard sciences, technologies of information are in charge of manner to implémenter, to rank and to accomplish resolutions to meet needs of human societies.

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