From Early Deep Neural Networks to ECF and RAF Network Theory

ECF and RAF Networks

My recent research develops ECF as a framework for studying coherence, constraint propagation, and self-organization across cognitive, social, economic, and biological systems. RAF networks add a complementary language for self-sustaining structures: systems whose internal relations keep regenerating the conditions that make the system possible.

The goal is to move beyond treating intelligence as only prediction or computation, and toward models of systems that maintain coherence under pressure, reorganize under contradiction, and sometimes cross thresholds into new forms of order.