Markov Chains in Random Evolution: From Zombies to Computation
Markov chains provide a foundational framework for modeling systems where future states evolve probabilistically from current ones—a process known as random evolution. These stochastic models capture the essence of uncertainty in dynamic systems, from biological networks to digital games, revealing hidden order beneath apparent chaos. Core Concept: State Transitions and Time Evolution At the heart …
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