Constructive Logic and Behavior Engine for Efficient and Responsive Training (COLBERT)

ABSTRACT:Simulations supporting Close Air Support (CAS) training and the Joint Terminal Attack Controller (JTAC) training are laborious to configure and expensive to manage with live personnel, which results in training that is limited in scope. For example, current simulations, like the Indirect Fire Forward Observer Trainer (I-FACT), require numerous observer/controllers to participate as White Force players in the simulation, driving up the manpower cost of conducting JTAC training. To fulfill the roles, communications, and behaviors of White Force participants in simulation-based training environments, we conducted a Phase I effort to design and demonstrate a full-scope Constructive Logic and Behavior Engine for Efficient and Responsive Training (COLBERT). In Phase I, we successfully established the feasibility of our approach by providing a graphical development and run-time environment to construct and execute CAS-related behavior models. COLBERT integrated our in-house, intelligent agent platform AgentWorks with the popular video game engine Unity, and included experience management tools that support Trainers across the multiple phases of training development. Based on the successful completion of Phase I, we propose a Phase II effort to design, develop, and evaluate COLBERT. In Phase II, we will deliver an initial set of simulation-based tools to support JTAC training.BENEFIT:COLBERT will provide immediate and tangible benefits to training developers by supporting effective and cost-efficient training across a wide range of domains and simulation environments, including the Joint Terminal Attack Controller Training Rehearsal System being developed at AFRL. COLBERT will also provide considerable benefit for other simulation-based training, including flight and space maintenance simulation training. In addition, we plan to enhance our user-friendly agent development environment, AgentWorks, with training capabilities that will increase its appeal in both the simulation-based training and entertainment (e.g., video games) markets.