The Research on AOS Cognitive Modeling and Construction Method of Command Decision-Making Behavior Model

In the context of modern joint operations, the battlefield is characterized by rapidly growing information, complex situations, diverse missions, and shortened decision-making time windows, which pose significant challenges to traditional data models. This study proposes a cognitive modeling framework based on the AOS (Agent-Objective-Scene) paradigm, leveraging the high-speed computation and powerful storage capabilities of big data and artificial intelligence. The framework integrates military knowledge graphs and adopts cognitive decision-making behavior modeling methods to construct a cognitive decision-making system for complex operational environments. Experimental results demonstrate that this method significantly enhances the system's decision support capabilities in battlefield simulations. This research not only contributes innovative outcomes in the domain of complex battlefield command and decision-making but also provides new ideas and practical approaches for cognitive modeling in artificial intelligence.