The importance of artificial intelligence for Naval intelligence training simulations

Abstract

Agent technology is widely deployed in numerous commercial areas such as networking, modeling, and software; however, this technology remains under-utilized by operational organizations within the United States Navy. This thesis will investigate the importance of artificial intelligence (AI) for military training simulations, particularly in the training of intelligence personnel in the Navy. The Computer Generated Forces (CGF) of the current Intelligence Team Trainer's (ITT) system initiate actions as a result of rigid scripted programming. Forces will execute the same actions regardless of what the user decides to do, resulting in highly unrealistic scenarios. For instance, in a scenario where an ARG (Amphibious Ready Group) transits the Strait of Hormuz, the response of Iranian P3 or an incoming dhow would be the same whether the battle group utilized frigate escorts or not. This thesis will produce very simple, but less rigid AI, which can easily be made more complex and intelligent in later phases. Demonstrations and assessments will validate the importance of AI integration for the ITT. Furthermore, this analysis of the requirements for the AI will assist training commands and combat information centers fleet wide with the range of realistic combat-related possibilities needed in order to ensure a fully capable 'combat ready' watch team.