Stochastic Processes
Artificial Intelligence
A modeling approach that incorporates random variables and probability distributions to account for uncertainty and variability in system behavior.
Detailed Explanation
Stochastic Modeling is a technique in Artificial Intelligence that uses random variables and probability distributions to represent systems with inherent uncertainty and variability. It helps in predicting outcomes, analyzing complex phenomena, and making decisions under uncertainty by capturing the probabilistic nature of real-world processes. This approach is essential for modeling dynamic, unpredictable environments effectively.
Use Cases
- •Forecasting weather patterns by simulating atmospheric variables to predict future conditions under uncertain environmental factors.
Related Terms
Other terms in the Artificial Intelligence category