Today the defense industry, the warfighter, and government leaders are all looking to modeling and simulation to solve new technology and security challenges such as a) the creation of large-scale battlespaces to test new technologies and concepts b) create the vast amounts of data required to train machine learning models c) provide new ways to inform decision makers with campaign-level simulation. Unfortunately, creating complex, multi-domain simulations is a time-consuming and expensive endeavor. At CAE, we are working to solve these issues by developing a high-level, natural language framework for rapidly generating large and complex, multi-domain battlespaces and communicating with intelligent agents within simulations. A framework will be introduced where intuitive commands can be given to a simulation to generate large formations of entities as well as issue orders and commands to the formations. A system of collaborative intelligent agents then interprets these orders as mission objectives, which are then further broken down into country, unit and platform specific tactics that can be applied to the specific scenario to get a desired outcome.
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