AI-Based Automated Military Course of Action Planning System Architecture
A new arXiv preprint (2604.20862) proposes an AI-based automated system for Course of Action (CoA) planning in military operations. The paper argues that increasing maneuver speeds, surveillance ranges, and weapon ranges expand operational areas, making traditional manned planning increasingly challenging. Several countries and defense organizations are actively developing such systems, but security restrictions and limited public disclosure hinder assessment of their technical maturity. This study aims to introduce relevant doctrines from publicly available information and present applicable architectures. The system is designed to automate CoA generation for future warfare, addressing the growing complexity of modern battlefields.
Key facts
- arXiv preprint number 2604.20862
- Focus on AI-based automated Course of Action (CoA) planning
- Driven by increased maneuver speeds, surveillance ranges, and weapon ranges
- Traditional manned CoA planning is becoming more challenging
- Multiple countries and defense organizations are developing such systems
- Security restrictions limit public disclosure of technical details
- Study uses publicly available information to present doctrines and architectures
- System targets future warfare operational requirements
Entities
Institutions
- arXiv