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Named after Claude Shannon, the "father of information theory".


Shannon entropy (countable and uncountable, plural Shannon entropies)

  1. information entropy
    Shannon entropy H is given by the formula   where pi is the probability of character number i appearing in the stream of characters of the message.
         Consider a simple digital circuit which has a two-bit input (X, Y) and a two-bit output (X and Y, X or Y). Assuming that the two input bits X and Y have mutually independent chances of 50% of being HIGH, then the input combinations (0,0), (0,1), (1,0), and (1,1) each have a 1/4 chance of occurring, so the circuit's Shannon entropy on the input side is  . Then the possible output combinations are (0,0), (0,1), and (1,1) with respective chances of 1/4, 1/2, and 1/4 of occurring, so the circuit's Shannon entropy on the output side is  , so the circuit reduces (or "orders") the information going through it by half a bit of Shannon entropy due to its logical irreversibility.

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