A Markov process is a stochastic process that possesses the memoryless property, meaning the future state of the process depends only on its current state and not on its past states. This characteristic allows for simplification in modeling random systems, as it establishes a direct relationship between present and future states while ignoring the history of how the system arrived at its current state.
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