Systematic political science

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Systematic political science, as developed by Dallas F. Bell Jr., basically is the use of game theory methods to mathematically unify the anthropocentric academic disciplines of theology, epistemology, psychology, sociology and eschatology for computerized analysis and predictions after verification and validation methods are employed, such as red team procedures. The discipline of systematic political science has two natural divisions of emphasis--pure and applied. Pure (systematic) political science focuses on the parameters of individual, institutional, and societal behavior(s). The behavioral parameters create probable decision-tree algorithms from a norm within the min max vector space sum, ∑. Applied (systematic) political science applies the corresponding behavioral algorithms from pure political science to the subject(s) of analysis.