Military force structure analysis is complex and decisions can take a substantial amount of time and resources to operationalize and possibly more to change (Murphy, 2014). However, modern warfare is characterized by rapid adaptability to competition. The reconciliation of these differences can be aided by Artificial Intelligence (A.I.). While much research has been put into developing A.I. agents capable of winning games, this paper focuses on applying A.I. to system-of-systems level decision making (Robertson, 2014). By looking at how professionals in sporting use A.I. in games to assess component level contributions to success, this paper lays out how Digital Engineering and Wargaming can be used to train an A.I. model that can optimize force structure and prepositioning decisions across conflicts. Sports and military competitions both require various members of a team to work together to complete their collective objectives and overcome opposing teams. Like force structure and prepositioning of assets for military conflicts, sports teams need to determine their formation and lineup. This paper proposes using MagicDraw’s model-based systems engineering capabilities to flexibly model force structures and mission threads. With this digital environment, data capture and force restructuring in Wargames are scalable and accessible to A.I. systems (Mittal, 2022). Wargames will be used to generate vignettes and outcome data to train the A.I. (Lingel, 2021). Emergent properties and other confounding variables make it challenging to determine what makes a certain lineup or formation better than another (O’Connor 1994). However, the A.I. model described in this paper can elucidate the impact of any individual attribute to a team’s overall success in competition. In sports, there is an extensive history of game outcomes and performance data which is crucial for training A.I. algorithms. This paper will demonstrate how, by learning from Wargames, A.I. can optimize force structure and prepositioning decisions.
Keywords
AI
Additional Keywords
Wargaming, Digital Engineering, Model-Based Systems Engineering, Force Structure