Definition
Mathematical models for random phenomena evolving over time, crucial for probabilistic AI modeling.
Detailed Explanation
Stochastic processes model systems that evolve randomly over time. They include Markov chains, random walks, and Brownian motion. In AI, they're essential for modeling uncertainty, time series analysis, and reinforcement learning.
Use Cases
Reinforcement learning, time series prediction, probabilistic modeling