Evolutionary Game and Collaboration Mechanism of Human-Computer Interaction for Future Intelligent Aircraft Cockpit Based on System Dynamics

Abstract

The application of artificial intelligence in designing the future aircraft cockpit may lead to conflicts especially during the human-computer decision-making process. To harmonize the human-computer relationship, the evolutionary game and collaboration mechanism based on system dynamics (SDs) is proposed in this article. The evolutionary game model is established containing the flight crew and the intelligent decision-making system as players. The profit matrix of different game strategies is constructed, and the time-varying dynamic characteristics of the human-computer evolution game is analyzed. Based on the SDs theory, the human-computer collaboration model is constructed. Its functional component modules are respectively defined by the behavioral characteristics of pilots, decision-making performance, and human-computer evolutionary game. The coupling relationship between them is also presented. With the background of typical task scenarios, a dynamic simulation case of the human-computer collaboration is given. The impacts of task load change rate, task load level, and decision-making performance related parameters are analyzed. The evolutionary laws of human-computer game strategies are thereby revealed. This work can provide modeling methods for human-computer interaction in the aircraft cockpit.