Applying the FINC (Force, Intelligence, Networking and C2) Methodology to the Land Environment
DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION SALISBURY (AUSTRALIA) INFO SCIENCES LAB
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In this paper we re-examine the FINC Force, Intelligence, Networking and C2 methodology for analyzing C4ISR architectures, studying its applicability to hierarchical organizational structures in the Land environment. For this study we utilize a search-and-maneuver experimental scenario, implemented using an agent-based simulation written in Java. The FINC methodology allows the calculation of three metrics or coefficients for every C4ISR architecture the information flow coefficient, the coordination coefficient, and the intelligence coefficient. Cur experiment shows that the FINC intelligence coefficient alone was able to predict 95 of the variance in performance. Consequently, the intelligence coefficient can be used to compare C4ISR architectures, and predict with moderate accuracy which one will give the best performance. A brief study of some US Civil War battles confirms the usefulness of the intelligence coefficient.
- Computer Systems
- Military Intelligence
- Command, Control and Communications Systems