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The Shannon–Weaver model is one of the earliest models of communication. [2] [3] [4] It was initially published by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication". [5] The model was further developed together with Warren Weaver in their co-authored 1949 book The Mathematical Theory of Communication.
Warren Weaver (July 17, 1894 – November 24, 1978) [1] was an American scientist, mathematician, and science administrator. [2] He is widely recognized as one of the pioneers of machine translation and as an important figure in creating support for science in the United States.
It was later published in 1949 as a book titled The Mathematical Theory of Communication (ISBN 0-252-72546-8), which was published as a paperback in 1963 (ISBN 0-252-72548-4). The book contains an additional article by Warren Weaver, providing an overview of the theory for a more general audience. [12]
Shannon–Weaver model of communication [86] The Shannon–Weaver model is another early and influential model of communication. [10] [32] [87] It is a linear transmission model that was published in 1948 and describes communication as the interaction of five basic components: a source, a transmitter, a channel, a receiver, and a destination.
Shannon–Weaver model of communication, which focuses on how a message is first translated into a signal and then back into a message. The Shannon–Weaver model is another influential linear transmission model. [31] It is based on the idea that a source creates a message, which is then translated into a signal by a transmitter.
The book The Mathematical Theory of Communication [59] reprints Shannon's 1948 article and Warren Weaver's popularization of it, which is accessible to the non-specialist. Weaver pointed out that the word "information" in communication theory is not related to what you do say, but to what you could say.
One was cybernetics, as formulated by Norbert Wiener in his Cybernetics: Or the Control and Communication in the Animal and the Machine. [12] The other was information theory, as recast in quantitative terms by Claude E. Shannon and Warren Weaver in their Mathematical Theory of Communication. [13]
the mutual information, and the channel capacity of a noisy channel, including the promise of perfect loss-free communication given by the noisy-channel coding theorem; the practical result of the Shannon–Hartley law for the channel capacity of a Gaussian channel; and of course; the bit - a new way of seeing the most fundamental unit of ...