In probability theory and information theory, the mutual information (sometimes known by the archaic term transinformation) of two random variables is a quantity that measures the mutual dependence of the two random variables. The most common unit of measurement of mutual information is the bit, when logarithms to the base 2 are used.
Read more about Mutual Information: Definition of Mutual Information, Relation To Other Quantities, Variations of Mutual Information, Applications of Mutual Information
Famous quotes containing the words mutual and/or information:
“If one considers how much reason every person has for anxiety and timid self-concealment, and how three-quarters of his energy and goodwill can be paralyzed and made unfruitful by it, one has to be very grateful to fashion, insofar as it sets that three-quarters free and communicates self-confidence and mutual cheerful agreeableness to those who know they are subject to its law.”
—Friedrich Nietzsche (1844–1900)
“The real, then, is that which, sooner or later, information and reasoning would finally result in, and which is therefore independent of the vagaries of me and you. Thus, the very origin of the conception of reality shows that this conception essentially involves the notion of a COMMUNITY, without definite limits, and capable of a definite increase of knowledge.”
—Charles Sanders Peirce (1839–1914)