Andrei Markov

Andrei Markov was a Russian mathematician known for his work in probability theory and mathematical logic. In computability theory, his concepts, particularly Markov chains, describe systems that transition from one state to another based on certain probabilities. This helps in modeling random processes over time, where the next state depends only on the current state, not on the past. Markov's work laid foundational principles for understanding algorithms, randomness, and decision-making in various fields, including computer science and statistics. His ideas have profound implications in areas like artificial intelligence, economics, and information theory.