Resonant Basins and the Non-Random Unfoldment of Gene Regulation
Toward Symbol Formation in Evolutionary Dynamics
Keywords:
GRN, Symbol 2.0, Symboliad, basin, Lamarck, genotype, software-physicalism, life-cycle conjectureAbstract
Recent evidence indicates that de novo adaptive mutations arise more frequently in populations with a history of recurrent environmental stress. This challenges the notion of random mutational availability and points to a developmental bias inscribed within the topology of gene regulatory networks (GRNs). Through the lens of the Symbols Framework, we interpret such directional mutational propensities as the expression of basin history - a collective resonance field that stores prior selections as structural predispositions. Integrating Lamarckian intuitions of environmentally shaped heredity with Andreas Wagner’s computational models of genotype networks and evolvability, we propose that evolutionary systems do not merely adapt to their environments but inscribe regularities within their material substrate, giving rise to Symbol formation in biology that it is explained through the shape absorption, structural coupling dynamics, "externsion," generativity, imprinting in the homeostatic “arc” and a clearer view over the life-cycle conjecture in framework.
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