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Embedded or Integrated, Autonomous Intelligent Monitoring Architecture and Framework for Training Assistance and Automation

A key element to readiness lies in the ability to provide qualified trainers and role player personnel, a challenge in a budget constrained environment. The goal of this effort is to employ practical artificial intelligence (AI) and automation techniques to minimize staffing requirements for training, and to improve the quality and pace of training. This paper outlines implementation experiments and results of these techniques to interoperate multiple AI algorithm types in an architecture and framework to automate certain aspects of training systems. A core capability the ability to integrate into a variety of training systems, from embedded and virtual reality simulations to constructive wargames, via a user-friendly system of APIs.