From Reaction to Reflection: A Recursive Framework for the Evolution and Structure of Intelligence

Understanding emerges not from isolated cognitive abilities but from recursive depth—the capacity for self- referential processing grounded in systems with authentic thermodynamic constraints. The Reaction to Reflection (R2R) model advances a unifying principle for intelligence, identifying four evolutionary transitions in recursive sophistication: reaction (chemical recursion), temporogenesis (anticipatory prediction), symbiogenesis (cooperative integration), and cognogenesis (explicit self-referential modeling). We show that the transition from implicit recursion, in which systems engage recursive processes without representing them, to explicit recursion, in which recursion becomes a manipulable cognitive construct, accounts for the emergence of consciousness and the persistent gap between biological and artificial intelligence. Evidence from microbial decision-making, cross- kingdom signaling, and neural predictive and self-referential networks supports this framework. R2R generates testable predictions on cognitive dimensionality, provides criteria for assessing artificial consciousness, and reframes neurodevelopmental variation as alternative recursive architectures. By making biological grounding a precondition for genuine intelligence, R2R links objective neural dynamics to subjective experience within a unified mechanistic account.