An Embodied and extended cognitive dynamic field theory (dft) model for piloting tasks supported with flight records

Kaygusuz, Yasin
The DFT modeling employs the dynamical systems approach to model the human motor and sensory stimulus unified with cognitive behavior. Since the DFT model includes the embodiment already embedded into the model, it can be easily used to generate task oriented robotic behavior similar to human activities including cognition. In this study the navigation trajectories of an aircraft with a pilot will be modeled using the DFT approach. The model will include the embodiment of the human mind into the body of the human and the aircraft. In an aircraft the sensory data required to maintain situational awareness is transferred to the pilot mostly via the displays. Additional tools may be aural and tactile systems. The DFT model in this study will include these cockpit tools as interacting layers in the DFT model following an extended mind thesis approach. Finally, in order to guide the development and verification of the trajectory equations deduced from the model within a simulated three-dimensional environment including waypoints and obstacles, real flight data records from various aircrafts will be used.