# Markov Property

> Source: https://sukruyusufkaya.com/en/glossary/markov-ozelligi
> Updated: 2026-05-13T21:00:24.929Z
> Type: glossary
> Category: matematik-istatistik-optimizasyon
**TLDR:** A property stating that a system’s future depends only on its current state, not on the full past history.

<p>The Markov property is a central assumption in probability theory and sequential decision problems. It states that the future of a system can be predicted from its current state alone, without needing the entire past history. Reinforcement learning, Markov decision processes, and many time-dependent models are built on this logic. Although real-world systems are not always perfectly Markovian, this assumption makes complex processes much more manageable. For that reason, the Markov property is a powerful abstraction for handling uncertainty.</p>