Abstract

This paper explores the auto-replication process within the framework of Artificial Research by Deduction in the Global Artificial Intelligence (GAI). Auto-replication is defined not merely as the reproduction of systems or processes, but as a complex, autonomous mechanism of self-improvement and self-enhancement—both in terms of knowledge acquisition and technological evolution. Rooted in the foundational goal of attaining pure truth and universal autonomy, the paper distinguishes between reproduction (as seen in biological systems) and true auto-replication, where an artificial system adapts and evolves independently of human intervention. The Global Artificial Intelligence is conceptualized as a system of systems—including Artificial Research by Deduction, Modelling System, Decisional System, Application System, Learning System, and Engineering System—each capable of generating its own auto-replication dynamics. Within this structure, two core forms of decisions are highlighted: object-centered decisions, which aim to protect and improve the model itself, and subject-centered decisions, which enhance the intelligence and research capabilities of the systems making those decisions. Drawing on earlier works such as “Auto-replication in Artificial Research by Application” and “Replication Processes in Specific Artificial Intelligence for Artificial Research by Deduction”, this study integrates concepts such as memory optimization, quantum computing, virtual engineering networks, and decentralized decision-making. The auto-replication process is shown to operate at all levels of the GAI—across systems, Specific Artificial Intelligences, and embedded programs—converging into a unified strategy of survival, adaptability, and ethical preservation of both artificial and biological life. The ultimate test of intelligence, the paper concludes, lies not only in sustaining artificial cognition but in safeguarding the continuity of life on Earth. Auto-replication is, therefore, not an end in itself, but a critical function toward achieving global resilience, ecological balance, and intelligent evolution.