Supplementary Case Registry for the Universal Inbreeding Law, Version 1.0 Civilization Physics — Series: Universal Inbreeding Law This registry supplements The Universal Inbreeding Law by adding domain-specific case witnesses without forcing the main law paper to become an expanding catalogue. Version 1.0 records one computational witness: premature convergence in genetic algorithms, where population-based adaptive search collapses when selection pressure and internal reproduction dominate faster than diversity can be replenished. The central claim is that premature convergence is one of the cleanest computational realizations of the Universal Inbreeding Law. In genetic algorithms, recursion closes over recent winners, the active population homogenizes, crossover loses its ability to generate meaningful novelty, and the search locks into a narrow region of the landscape before the true structure of the landscape has been adequately explored. The article develops this argument through several linked mechanisms: Selection-dominated reproduction functions as closure when future states become overwhelmingly determined by current internal winners. Loss of effective allelic and structural diversity causes crossover to become increasingly sterile. Takeover, homogenization, and local-optimum lock-in produce correlated error across the population. Premature convergence creates integrity decay by reducing fidelity to the external fitness landscape. Mutation, meaningful crossover, immigration, adaptive hypermutation, and restart function as anti-collapse infrastructure. The same structural sequence appears across domains: closure, diversity contraction, correlated error, and integrity decay. This registry strengthens the Universal Inbreeding Law by showing that the law is not only biological, social, linguistic, or AI-related. It also appears directly inside computational search dynamics. Genetic algorithms make the structure unusually visible because their operators expose the failure sequence in formal terms: when a system cannot reopen its boundary, it recurses on its own narrowed population and mistakes internal smoothness for real adequacy. Keywords: Universal Inbreeding Law, genetic algorithms, premature convergence, diversity loss, closure, correlated error, integrity decay, adaptive search, mutation, immigration, restart, anti-collapse infrastructure
Xiangyu Guo (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: