Abstract
The resilience of the current air transportation system is implicitly tested around the globe on a regular basis. Each day of operation, the system is perturbed by disturbances of different nature ranging from severe weather conditions, through airport congestion, up to an aircraft mechanical failure. In most of these cases, humans operating at the sharp edge assure efficient and safe air transportation amidst various uncertainties and disturbances. Motivated by the need to understand such a human-invoked resilience, this paper explores a multi-agent systems approach to model part of the socio-technical air transportation system. The focus is on Airline Operations Control (AOC) where decision-making by the human operators facilitate disruption recovery. In particular, the paper integrates advances in research on coordination to understand its nature in AOC
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