Informational Evolution Theory: Selection, Variation, and Emergence in an Informational Universe

This paper develops an evolutionary theory for an informational universe in which organismic structures emerge not from physical matter or genetic substrates, but from informational fields, pressure gradients, and localized curvature domains. Building on synthetic informational biology, informational consciousness, and post-material field organisms, we demonstrate that evolutionary dynamics can be fully formulated without genes, mutations, or biological matter. Informational evolution is driven by curvature selection, divergence selection, field coupling variation, and geodesic optimization. The resulting framework describes the generation, transformation, and long-term stabilization of complex organismic information structures within relational network topologies.