
We propose a unified framework for both Shannon-Khinchin and Shore-Johnson axiomatic systems. We do it by rephrasing Shannon-Khinchine axioms in terms of generalized arithmetics of Kolmogorov and Nagumo. We prove that the two axiomatic schemes yield identical classes of entropic functionals -- Uffink class of entropies. This allows to re-establish the entropic parallelism between information theory and statistical inference that has seemed to be "broken" by the use of non-Shannonian entropies.
6 pages, this version was accepted to Phys. Rev. E
Statistical Mechanics (cond-mat.stat-mech), Physics - Data Analysis, Statistics and Probability, FOS: Physical sciences, Mathematical Physics (math-ph), Condensed Matter - Statistical Mechanics, Mathematical Physics, Data Analysis, Statistics and Probability (physics.data-an)
Statistical Mechanics (cond-mat.stat-mech), Physics - Data Analysis, Statistics and Probability, FOS: Physical sciences, Mathematical Physics (math-ph), Condensed Matter - Statistical Mechanics, Mathematical Physics, Data Analysis, Statistics and Probability (physics.data-an)
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