ABSTRACT
Mathematical modelling in science, economics, and social sciences does not have a robust methodology to date to study extensively endogenous process-oriented social and moral phenomena. These studies involve the investigation of complexly embedded sub-systems of the grand systemic view of interrelated world-systems. Not even the field of social political economy has succeeded in modelling and analyzing such complex systems. The result has thus been the limitation of analytical methods that can otherwise decipher the dynamics of complex systems. Complex systems are characterized by intra-system dynamics combined with inter-system evolutionary learning. In the usual kinds of scientific, societal, and socio-economic studies the effects of exogenous variables, strong or weak, abound. There do not exist pervasive complementarities between the variables. Pervasive endogeneity in reference to the episteme of unity of knowledge is otherwise the sign of unified interrelationship (also systemic participation) between selected variables representing their agential sources of knowledge-embedded systems. Their interactions explain the attainment of objective criterion. Econometric modelling, for example, is thereby characterized by lagged and exogenous variables. They fail in the characterization and analysis of pervasively endogenous inter-variate related sub-systems that lie at the core of knowledge-embedded systems of interaction.
