Through feedback and analysis of results and effects associated with the parallel hypotheses, an iterative process of adjustment and refining of the metric and evaluation system parameters is conducted. This requires the ability of the system to access the underlined information. Consequently, besides integrating deep and working model-related information, i.e. link values from both interpretation approaches in the memory and working hypotheses thereon, we support integrating the underlying profiles and similarity scores as well. This basic information is helpful to perform the continuous and dynamic reassessment required by the perpetual evolution of crime problems, and parallel hypotheses thereon [31].