Extending CA with AI COAs for Wargaming

NPS NRP Project PosterThe objectives of this study is to research and assess the initial stages of the evolution of Human-Machine Teaming (HMT) mission workflows which is focused on transitioning of automation tasks from humans to machines within the context of Interdependency Analysis; a technique which is used as part of a Co-Active Design in the process of digitization of mission workflows such as Fire Support Coordination (FSCn). Also, to study the advanced stage(s) of the evolution of HMT to include Linguistic Geometry, Real-time Adversarial Intelligence and Decision Making (LG-RAID) Courses-of-Action (COA) Wargaming Decision-making (DM) AI functions and what role natural language processing (NLP) plays. In addition, this study will explore the viability of Interdependence Analysis (IA) matrix and NLP in HMT peer-to-peer COAs generation paradigm as opposed to other approaches. Finally, this study will leverage complex Joint Naval Force EABO scenario (UNCLASS) designed by MCWL to explore NLP and LG-RAID COA's distributed agents managing the decision making of operators using various modes of HMT interface of AI run-time execution agents thereby enriching digital workflows.HQMC Plans, Policies & Operations (PP&O)This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.