# Maximum information entropy principle and the interpretation of probabilities in statistical mechanics − a short review

@article{Kuic2016MaximumIE, title={Maximum information entropy principle and the interpretation of probabilities in statistical mechanics − a short review}, author={Domagoj Kuic}, journal={The European Physical Journal B}, year={2016}, volume={89}, pages={1-7} }

Abstract
In this paper an alternative approach to statistical mechanics based on the maximum
information entropy principle (MaxEnt) is examined, specifically its close relation with
the Gibbs method of ensembles. It is shown that the MaxEnt formalism is the logical
extension of the Gibbs formalism of equilibrium statistical mechanics that is entirely
independent of the frequentist interpretation of probabilities only as factual (i.e.
experimentally verifiable) properties of the real world…

## One Citation

Paradigms of Cognition

- Computer ScienceEntropy
- 2017

An abstract, quantitative theory which connects elements of information —key ingredients in the cognitive proces—is developed and seemingly unrelated results are thereby unified, providing a general framework for the treatment of a multitude of global optimization problems across a range of disciplines such as geometry, statistics and statistical physics.

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