Markov Chains: How Present Moments Shape Future Systems—Lessons from Big Bamboo
Markov chains offer a powerful framework for understanding systems where future states depend solely on the current state, not on the full history of past events. At their core, these models embody the principle of memorylessness: only the present moment determines probabilistic transitions. This contrasts sharply with classical deterministic models, where outcomes are fully constrained […]
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