Framework for Enabling Adaptive Scenario Generation for Training (FEAST)
Agency / Branch:
DOD / USAF
This project will design and demonstrate a Framework for Enabling Adaptive Scenario Generation for Training (FEAST). The FEAST approach is founded on 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 graceful evolution of scenario design knowledge over extended time. Building off the successful Phase I innovations, the proposed Phase II project will (i) establish FEAST application requirements, (ii) enhance the FEAST scenario generation methods and architecture, and (iii) demonstrate a focused, field-able, and scalable simulation-based training application of the FEAST technology. Key innovations include (i) the ability to automate the generation of dynamically adaptive training scenarios that rapidly respond to run-time state changes in distributed mission operations training simulations; (ii) hybrid approach that combines techniques that use a-priori expert knowledge with data-driven knowledge discovery methods; and (iii) component-based architecture strategy that allows for rapid and affordable deployment of the innovation in multiple application contexts. BENEFIT: Key benefits of the proposed solution are (i) significant reductions in time and cost to develop and maintain simulation-based training scenarios (affordable and agile simulation-based training), (ii) improved effectiveness and quality of simulation-based training for the individual/team in DMO environments, and (iii) a component-based architecture that enables rapid, affordable, and scalable technology insertion and deployment. FEAST offers significant short and long term value for simulation-based training applications in different domains. We anticipate rapid and immediate transition of the project results to the Mesa AFRL DMO training environment. The scenario generation and adaptation methods from the FEAST project will have significant applications for other DoD / DHS military simulation applications (force protection simulations, emergency response simulations, etc.). Lastly, KBSIs established presence in the systems simulation and enterprise engineering market through products such as PROSIM and PDP provide a rapid commercialization pathway for the FEAST innovations.
Small Business Information at Submission:
Michael H. Graul
Senior Research Scientist
Jason A. Ogle
KNOWLEDGE BASED SYSTEMS, INC.
1408 University Drive East College Station, TX 77840
Number of Employees: