Markov

Sat, 18 Jul 2026 09:34:02 +0000

Definition

In artificial intelligence and probability theory, Markov processes are fundamental models used to describe systems that transition between states randomly. The core principle is the Markov property, which asserts that the probability of moving to a future state is conditioned solely on the present state, ignoring the history of how the system arrived there. This simplification allows for efficient computation in complex dynamic environments. Markov Decision Processes (MDPs) extend this concept to include actions and rewards, forming the backbone of many reinforcement learning algorithms.

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Markov

Definition