Adaptive APC Forecast Engine (AAFE)

The Adaptive APC Forecast Engine (AAFE) is a computational extension of the Unified Archetypal Bayesian Theory (UABT), designed to transition anomaly quantification from retrospective analysis to continuous real-time forecasting. Where the UABT established static posterior probabilities of Anomalus Phenomena Clusters (APCs), the AAFE introduces an adaptive, learning-based Bayesian network that updates itself as new data streams arrive. This evolution defines the predictive arm of the emerging field of Anomalous Systems Analysis (ASA).