= Principle of maximum caliber
{wiki=Principle_of_maximum_caliber}
The Principle of Maximum Caliber, also known as the Maximum Caliber Principle or Caliber Principle, is a conceptual framework used in statistical mechanics and information theory to derive probability distributions that maximize the uncertainty or "caliber" of a system subject to certain constraints. It is particularly useful for systems that are far from equilibrium. The principle is related to the more commonly known Maximum Entropy Principle, which is used to derive probability distributions that maximize entropy subject to given constraints.
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