22 July 2003 Example of deriving command and control metrics based on a knowledge analysis framework
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Proper metrics are instrumental to help make sound balance of investment decisions and guide system development. In synthetic environment (SE) experimentation, metrics play additional but allied roles in several aspects of experimental design: guiding the choice of fidelity of representation of systems, focusing concept demonstrator development and giving structure to the experimental data collection and analysis. In order to generate C4ISR metrics, which align with the Network Centric Warfare (NCW) paradigm of producing superior effects via superior decision making through knowledge and information superiority, a five-level metrics hierarchy framework called the Knowledge Analysis Framework (KAF) has been proposed. In the framework, the C4ISR System-of Systems (SoS) provides the overall transition from obtaining data on the physical world to application of battlespace effects. Components of the system provide the transitions between the intermediate levels. Measures of different aspects of system components are labelled as system performance parameters. This paper reports our work on deriving Command and Control (C2) metrics based on this framework for a specific SE experiment aimed at developing and assessing C2 system concepts for the future Australian Army. Detailed metrics have been defined against the particular problem statement. The paper describes these metrics and associated data collection methods.
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Yi Yue, Yi Yue, Robert S. Seymour, Robert S. Seymour, Anne-Marie Grisogono, Anne-Marie Grisogono, Michael Bonner, Michael Bonner, Han Tin French, Han Tin French, } "Example of deriving command and control metrics based on a knowledge analysis framework", Proc. SPIE 5101, Battlespace Digitization and Network-Centric Systems III, (22 July 2003); doi: 10.1117/12.486886; https://doi.org/10.1117/12.486886

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