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JOURNALS // Preprints of the Keldysh Institute of Applied Mathematics // Archive

Keldysh Institute preprints, 2005 084, 27 pp. (Mi ipmp725)

Logic entropy

S. V. Popov


Abstract: It is entered notion of logical entropy as measures to uncertainties and difficulties of the information models, described logical functions. Profound interpretation to logical entropy is given. It is demonstrated difference between the logical entropy and entropy of Theory of information. Stands out the class of the physical systems, entropy which comply with entropy their information models.



© Steklov Math. Inst. of RAS, 2024