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Randomness is far from randomness in the chaotic sense—it is a structured foundation upon which intelligent systems learn, adapt, and thrive. In competitive environments like Snake Arena 2, the strategic use of randomness enables AI to navigate uncertainty with agility. The roots of this principle trace back to 17th-century mathematics, where Blaise Pascal and Pierre de Fermat formalized stochastic decision-making to solve the “problem of points.” Their work established expected value as a cornerstone of rational choice, a concept now deeply embedded in how modern AI evaluates paths, weighs risks, and learns from unpredictable outcomes.

In Snake Arena 2,

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