Which model of artificial intelligence method uses data models and reasoning to develop new models and develop insight into a problem?

Generative artificial intelligence uses data models and reasoning to develop new models to develop insight into a problem or event. Predictive artificial intelligence uses historical data to forecast and predict future outcomes, such as potential failure or congestion of a network. Anomaly detection is typically an outcome of machine learning. Root cause analysis is typically an outcome of artificial intelligence analyzing data across many different network elements.