Architecture and design of AI based air situation assessment

This paper focuses on the architecture and design criteria of an artificial intelligence-based military air situation assessment system, specifically on the expanded classification of hostile entities and their intentions. The ability to accurately expand classification information with details like its intention is critical for military operations. The paper presents a new architecture that is based on artificial intelligence and is specifically designed for this purpose. The design criteria include the selection of appropriate algorithms that are suitable for the classification of hostile entities and their targets based on a small set of data. The paper also discusses the importance of integrating expert knowledge, such as military-specific threat profiles and tactics, into the system. The presented design criteria improves the classification of hostile entities and their targets, thereby increasing the safety and success of military missions.