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  2. Shannon–Weaver model - Wikipedia

    en.wikipedia.org/wiki/ShannonWeaver_model

    Shannon and Weaver identify and address problems in the study of communication at three basic levels: technical, semantic, and effectiveness problems (referred to as levels A, B, and C). [ 12 ] [ 10 ] Shannon and Weaver hold that models of communication should provide good responses to all three problems, ideally by showing how to make ...

  3. Models of communication - Wikipedia

    en.wikipedia.org/wiki/Models_of_communication

    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.

  4. Source–message–channel–receiver model of communication

    en.wikipedia.org/wiki/Source–message–channel...

    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 ...

  5. A Mathematical Theory of Communication - Wikipedia

    en.wikipedia.org/wiki/A_Mathematical_Theory_of...

    Shannon's diagram of a general communications system, showing the process by which a message sent becomes the message received (possibly corrupted by noise) This work is known for introducing the concepts of channel capacity as well as the noisy channel coding theorem. Shannon's article laid out the basic elements of communication:

  6. Noisy-channel coding theorem - Wikipedia

    en.wikipedia.org/wiki/Noisy-channel_coding_theorem

    In information theory, the noisy-channel coding theorem (sometimes Shannon's theorem or Shannon's limit), establishes that for any given degree of noise contamination of a communication channel, it is possible (in theory) to communicate discrete data (digital information) nearly error-free up to a computable maximum rate through the channel.

  7. Entropy (information theory) - Wikipedia

    en.wikipedia.org/wiki/Entropy_(information_theory)

    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 ...

  8. Communication noise - Wikipedia

    en.wikipedia.org/wiki/Communication_noise

    Environmental noise can be any external noise that can potentially impact the effectiveness of communication. [2] These noises can be any type of sight (i.e., car accident, television show), sound (i.e., talking, music, ringtones), or stimuli (i.e., tapping on the shoulder) that can distract someone from receiving the message. [3]

  9. Claude Shannon - Wikipedia

    en.wikipedia.org/wiki/Claude_Shannon

    Shannon gave a rough example of an evaluation function in which the value of the black position was subtracted from that of the white position. Material was counted according to the usual chess piece relative value (1 point for a pawn, 3 points for a knight or bishop, 5 points for a rook, and 9 points for a queen). [ 102 ]