Entropy Maximization

Entropy maximization is a principle from information theory and thermodynamics that describes how systems tend to evolve towards a state of maximum uncertainty or disorder. In simpler terms, it suggests that in the absence of external constraints, systems will spread out and become more random over time. For example, if you have a sealed box with different gases, over time, the gases will mix evenly, reaching a state of equilibrium. This concept helps explain natural processes, data distribution, and even decision-making, emphasizing that systems seek to balance order and randomness to reflect the most unbiased state of knowledge.