Domino takes as a starting point the stakeholders (passengers, airlines, ANSPs, airports) which interact through the different processes in which they are active. Conversely, these processes can be seen as interacting through the fact that they represent services used by the same stakeholders. In particular, the ATM subsystems can be seen as connected by propagation of delay/cost through flight and passenger flows. This dual view is at the heart of the project.
An agent-based paradigm is particularly well suited to the description of highly coupled systems where a high number of processes take place at the same time at different levels. Domino focus on increasing the understanding of the relationship between the elements in the system
and their connection. Complexity science metrics will be used to describe these interactions. Some of these metrics are based on the use of complex networks as a convenient and powerful tool to visualize and model the interaction between the components.
As described below, different stakeholders interact in an environment defined by the different systems and mechanisms which represent the rules on which these agents operate. These operations are affected by uncertainty and disruptions. Domino will use complexity science tools to extract information on metrics and network interactions.