Principle of maximum entropy

The principle of maximum entropy states that, among all probability distributions consistent with a given set of constraints (such as normalization or specified expectation values), the distribution that maximizes Shannon entropy should be selected. This yields the least committal distribution compatible with the known constraints, introducing no structure beyond what is logically implied by the available information.

Source: Wikipedia — Principle of maximum entropy (CC BY-SA 4.0)