Integrating an Ontological Reference Model of Piloting Procedures in ACT-R Cognitive Architecture to Simulate Piloting Tasks.

To accurately replicate the procedures and actions of piloting an aircraft, it is important to create an intelligent system capable of analyzing and executing tasks using established protocols in the field. In this study, we introduce a cognitive agent based on the ACT-R cognitive architecture that incorporates an ontological reference model into its declarative memory. The purpose of this is to simulate the performance of critical piloting tasks, such as take-off, in a manner similar to that of a human pilot. The agent accomplishes this by utilizing production rules stored in its procedural memory to deduce knowledge captured and formalized by the ontological reference model stored in its declarative memory. Our findings suggest that this approach is a key step towards developing a cognitive agent that can be tested in a real flight simulator, providing insights into how human pilots function in terms of their cognitive and affective behavior.