A net-enabled apporach to modelling joint interagency systems : the Arctic search and rescue network / by Irene Prestov, Marcin L. Pilat.: D68-6/067-2012E-PDF

This report discusses a new network-based modelling framework that we have developed for representation and analysis of joint interagency systems. Agents in such systems differ by the roles they play in the system, by the environmental domains in which they operate, and also by other case-specific attributes. The agent heterogeneity gives rise to an Operational network, which represents a step-by-step execution of a response action to a particular incident. The network measures of the Operational network serve as performance indicators for the entire system. The utility of the presented modelling framework is illustrated using an example of the Canadian Arctic Search and Rescue system. Under our approach, the system is viewed and modelled as a set of inter-linked dynamical networks with embedded heterogeneous agents. Each agent is encoded as a multidimensional string of data, which represents agent attributes. The resulting dynamical network model, SARnet, provides visualization and computational capabilities for system analysis and exploration. The visualization capabilities of the model are used to examine the architectural make-up of the system and to explore its multidimensional agents. The computational capabilities are applied to analyze the Operational network of a real incident in the Arctic. The presented modelling framework is applicable to a variety of joint interagency systems. SARnet is a prototype dynamical network model that implements the presented modelling framework, creating a virtual laboratory in which different aspects of system performance can be efficiently evaluated.

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