Co-Adaptive Behavior Algorithms for Insurgent and Counter-Insurgent Techniques in Combat Simulations

This paper proposes an overall strategy and technical approach that allows development of sophisticated behavior algorithms which model insurgent and counter-insurgent techniques in military combat simulations. This capability will allow Department of Defense force providers to estimate, in a combat model, the effects of different approaches to counter-insurgency operations, reconstruction operations, stability operations, and information operations. The overall approach proposes development of robust application programming interfaces that can be employed in several different combat simulations. In a phased strategy, technical development will first focus on task-level behaviors. It will then shift to short-term planning behaviors and long-term planning behaviors. These planning behaviors will make significant use of geospatial reasoning and course of action analysis via simulation. It will also consider civilian behaviors as they relate to supporting either the insurgents or the government security forces. Armed with these simulation capabilities, the military services will be able to make better decisions about the proper mix of forces, equipment, and tactics to provide for use in the different theaters of operation.