A low complexity high resolution time-stepped stochastic ground combat simulation model

Abstract

A Monte-Carlo simulation based discrete time discrete state model for ground level combat is presented. The paper elaborates the components, architecture and functional description of the battle space dynamics for a high-resolution constructive warfare simulation model. It takes into account the mobility of the heterogeneous combating entities, their non-constant fire power and the terrain effects for target identification and engagement by mapping these attributes on stochastic variables resulting in non-deterministic results unlike the class of low-resolution Lanchester-equations based aggregated combat models. The adaptable and expandable nature of this simulation model makes it ideal for evaluation of war strategies and training of troops. MATLAB modeling and OpenGL-based graphics have been implemented for verification and validation of the model.