Neural Net and Discrete Event Simulations of C2 Performance in Army TOCs

Abstract

This project examines command and control (C2) from a system level viewpoint to study the way Tactical Operations Centers (TOC's) operate and then translates those observations into validated computer simulations using a methodological framework. This approach provides the ability to model TOC operations in a way that not only includes the individuals, work groups and teams in it, but also all of the other hardware and software systems and subsystems and human-system interfaces that comprise it as well as the facilities and environmental conditions that surround it. Datamining procedures, including neural network simulation, are used to screen raw data from naturalistic observation of TOC operations to identify significant relationships for follow-on analysis. Discrete event simulations then utilize mathematical relationships from the neural network analysis to describe TOC operations in a way that can be used for evaluations of new and proposed TOC Systems. The intent of this project is to develop a framework of techniques and procedures that are based upon empirical methods but are usable in real world, uncontrolled environments which can only be approached with naturalistic observation methods.

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