The operation concept of future battlefield is shifting toward Mosaic Warefare and Decision Centric Warefare. In this situation, the importance of an intelligent decision support system that conducts battlefield analysis and command decision rapidly and accurately utilizing artificial intelligence (AI) technologies is emerging. That is, to build an intelligent command and control system, it is necessary to have technologies needed to develop the command decision support using AI. Therefore, to assist in decision-making processes using AI for operations of ground forces, such as infantry and armored units, we are developing techniques to make the AI-Command Decision Support for Future Ground Operations (AICDS). In this paper, the overall concepts and methodologies of our AICDS are suggested. In our AICDS, the Battlefield Digital Twin (BDT) that simulates the battlefield including ground forces and behaviors of both enemies and allies is utilized for realistic battlefield simulation and an AI learning environment. Our AICDS is composed of sequential processes to support command decision at the brigade level for ground operations. First, the enemy threat analysis predicts their behavior and quantifies their threat using deep learning models such as graph neural network (GNN). Second, in the learning environment of BDT, using models such as reinforcement learning, we analyze the optimal assignment/distribution of friendly forces to take action against the analyzed enemy threat. Third, based on analysis results of enemy threat and assigned friendly force, its optimized placement and schedule for firepower are analyzed as part of a course of action. Lastly, operation and visualization tools are developed to support users of our AICDS. Related to these processes and concepts, we suggest developing methodologies, models, and softwares, in addition to experimental results.

Q: Why is this paper important to the community?

A : Our study suggest new concepts and methodologies utilizing AI technologies for supporting military command decision making of ground operations.

Keywords
AI, C2 SYSTEMS, SIMULATIONS

Additional Keywords
Command Decision Support, Ground operations