What is another word for Markov Process?
Pronunciation: [mˈɑːkɒv pɹˈə͡ʊsɛs] (IPA) 
A Markov process is a stochastic process that follows the Markov property, which states that the future state of the process depends only on its current state and not on any past states. Other words that are used synonymously with a Markov process include Markov chain, memoryless process, or discrete-time Markov process. These processes are commonly used in fields such as computer science, physics, economics, and telecommunications. In a Markov chain, each state transition is known as a step, and the probability of moving from one state to another is highly dependent on the current state and not the previous state. By understanding the Markov property, researchers can better predict future states and outcomes of complex systems.
