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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.
The concept of information entropy was introduced by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication", [2] [3] and is also referred to as Shannon entropy. Shannon's theory defines a data communication system composed of three elements: a source of data, a communication channel, and a receiver. The "fundamental problem ...
In this context, either an information-theoretical measure, such as functional clusters (Gerald Edelman and Giulio Tononi's functional clustering model and dynamic core hypothesis (DCH) [47]) or effective information (Tononi's integrated information theory (IIT) of consciousness [48] [49] [50]), is defined (on the basis of a reentrant process ...
Berlo's model was influenced by earlier models like the Shannon–Weaver model and Schramm's model. [ 17 ] [ 18 ] [ 19 ] Other influences include models developed by Theodore Newcomb , Bruce Westley, and Malcolm MacLean Jr. [ 20 ] [ 4 ] [ 17 ] The Shannon–Weaver model was published in 1948 and is one of the earliest and most influential ...
Information theory, developed by Claude E. Shannon in 1948, defines the notion of channel capacity and provides a mathematical model by which it may be computed. The key result states that the capacity of the channel, as defined above, is given by the maximum of the mutual information between the input and output of the channel, where the ...
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.