An adversary prediction environment based on DSAP capabilities
Maria E. Valinski, Noel Mia, Robert M. McGraw · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
There is a key for anticipatory tools and techniques to assist command staff in Intelligently Preparing the Battlespace by predicting and assessing adversary and neutral courses-of-action in a manner that enable the rapid diffusion of undesirable military or socio-political situations. This paper discusses the development of an Adversary Prediction Environment (APE) that will provide this capability by leveraging soft computing techniques and grid computing resources to provide an environment that allows for rapid exploration and analysis of enemy COAs for a given set of scenarios. The APE accomplishes these capabilities by utilizing prediction capabilities present in our DSAP (Dynamic Situation Awareness and Predictive (DSAP) environment to apply operationally focused simulation through Joint SemiAutomated Forces (JSAF) to evaluate plan effectiveness. The paper discusses our efforts to identify prospective scenarios and define a library of basic adversary and neutral force plans, actions, and adversary objectives that can be used to model adversary behavior for the identified scenario. The paper also covers our efforts to modify DSAP in support of an APE proof-of-concept that can be used to simulate and rank adversary plans.