Framework for Enabling Adaptive Scenario Generation for Training (FEAST)

We propose to design and demonstrate a Framework for Enabling Adaptive Scenario Generation for Training (FEAST). We will design an innovative methodology that enables dynamic scenario generation and adaptation for individual and team learning in simulation-based environments. We propose (i) a robust knowledge based approach to facilitate the rapid generation and refinement of distributed mission operations training scenarios and (ii) innovative knowledge discovery and automated reasoning methods to allow for the seamless evolution of scenario design knowledge over extended time. The proposed Phase I effort will (i) establish requirements for a dynamic scenario generation for individual and team learning in simulation-based environments, (ii) design a FEAST solution architecture, and (iii) demonstrate proof-of-concept FEAST technology. Phase II will design and demonstrate focused and scalable FEAST simulation-based training application.