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Gt-Ches And Dycon: Improved Classification For Human Evolutionary Systems, Joseph S. Johnson
Gt-Ches And Dycon: Improved Classification For Human Evolutionary Systems, Joseph S. Johnson
Theses and Dissertations
The purpose of this work is to rethink the process of learning in human evolutionary systems. We take a sober look at how game theory, network theory, and chaos theory pertain specifically to the modeling, data, and training components of generalization in human systems. The value of our research is three-fold. First, our work is a direct approach to align machine learning generalization with core behavioral theories. We made our best effort to directly reconcile the axioms of these heretofore incompatible disciplines -- rather than moving from AI/ML towards the behavioral theories while building exclusively on AI/ML intuition. Second, this …