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“The amount of information conveyed by the message increases as the amount of uncertainty as to what message actually will be produced becomes greater. A message which is one out of ten possible messages conveys a smaller amount of information than a message which is one out of a million possible messages. The entropy of communication theory is a measure of this uncertainty and the uncertainty, or entropy, is taken as the measure of the amount of information conveyed by a message from a source. The more we know about what message the source will produce, the less uncertainty, the less the entropy, and the less the information.”

John Robinson Pierce, An Introduction to Information Theory: Symbols, Signals and Noise
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An Introduction to Information Theory: Symbols, Signals and Noise (Dover Books on Mathematics) An Introduction to Information Theory: Symbols, Signals and Noise by John R. Pierce
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