System Modeling to Identify Agent Functions in Complex Human-Integrated Systems: An Application to Air Transportation

Abstract: A general method for identifying function allocation in human-integrated systems is discussed and applied to the conflict detection and resolution function in air traffic control. The method involves creating a top-down, hybrid state model, where either human or automated agents must perform the functions of detecting the current system state, controlling the current system state, detecting the minimum time available for controlling the current system state, and controlling the minimum time available for controlling the current system state. These functions are considered necessary and sufficient. Allocation of the functions between human and automation can then be made based on the relative abilities of the humans and automation with respect to system performance and system safety.

Keywords: System Modeling, Human Systems Integration, Systems Safety, State-based Modeling, Function Allocation

DOI: 10.54941/ahfe100613

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