A Predictive Analytics Algorithm (Red Team) of Analytics’ Predictors (Blue Team): World Forensic Social Science Supercolliders

Abstract

Mathematical and theoretical biologists recognize the inherent ambiguity in simulacra computation of living processes. An aspect of cultural distinction is theological beliefs. A micro case study of the Chinese and Hebrew development of mathematics is shown to be predictable. The Fokker-Planck, Kolmogorov, and Langevin equations are applied to addressing the TA1, TA2, and TA3 goals for the RFI regarding forensic social science supercolliders. The solution of an evolving parametric algorithm for forward (deductive) and backward (inductive) computation of v and phi variables is presented. Redundant validation for the calibration of parametrics concludes the discussion.