This paper describes several new techniques which are being developed and used jointly by Bevilacqua Research Corporation (BRC) and UAH to address the large scale knowledge engineering problems of today's simulations. The first of these is called Tracked Repertory Grids which acquires highly detailed knowledge from relatively unskilled sources. This knowledge is collected so as to be clearly traceable. The approach is based on the original work by Wolf. The knowledge is then represented as dynamic conceptual graphs based on the work of Sowa. These graphs control the behavior of individual entities in a realistic manner consistent with the knowledge obtained with the Tracked Grids. This paper will describe the techniques and the tools developed by BRC and UAH to implement this approach in simulation systems.