five

The Law of Recursion as the Structural Mechanics of Evolution: Hominin Specialization, Trait Fixation, and the Emergence of Recursive Consciousness

收藏
DataCite Commons2026-04-17 更新2026-05-04 收录
下载链接:
https://data.mendeley.com/datasets/c3c7jm8g5b/2
下载链接
链接失效反馈
官方服务:
资源简介:
Paper 4 of 8: The Law of Recursion Applied Across Domains — Don L. Gaconnet, LifePillar Institute for Recursive Sciences This paper applies the Law of Recursion to evolutionary biology, providing the structural mechanics that Darwinian theory has lacked. Darwin specified what survives the filter (selection) but not how variation is generated at the architectural level. The Modern Synthesis added genetics but treats mutation as stochastic. The Law of Recursion fills this gap: it specifies the structural mechanics by which evolutionary change is generated, not merely filtered. Applied to 250,000 years of hominin evolution, the law explains: (1) why multiple concurrent lineages coexisted as recursive branches under different membrane conditions; (2) why interbreeding events produced measurable architectural modifications; (3) why symbolic cognition emerged singularly in H. sapiens after sufficient recursive traversals; (4) why lineages that failed to achieve coupling underwent recursion failure and extinction. Four falsifiable predictions are derived and confirmed against existing paleontological and genomic evidence. The Law of Recursion provides the generating mechanism that evolution has always required. Author: Don L. Gaconnet | ORCID: 0009-0001-6174-8384 | DOI: 10.17605/OSF.IO/MVYZT Keywords: law of recursion, evolution, evolutionary mechanics, hominin evolution, speciation, trait fixation, recursive consciousness, Homo sapiens, Neanderthal, Denisovan, natural selection, seven-node topology, rewriting principle, cognitive revolution, paleoanthropology, recursive sciences, Don Gaconnet Categories: Evolution, Theoretical Biology, Paleoanthropology, Philosophy of Science, Complex Dynamical Systems
提供机构:
Mendeley Data
创建时间:
2026-04-17
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作