The automation of the scientific research

This paper proposes a structural and philosophical framework for the automation of scientific research within the broader development of Global Artificial Intelligence (GAI). It introduces two complementary modes of automation: Artificial Research by Application, which categorizes empirical data into structured conceptual models, and Artificial Research by Deduction, which constructs logical hypotheses and inferential chains based on internal cognitive architectures. Together, these modes enable AI systems to carry out autonomous scientific processes—including modeling, experimentation, reasoning, and self-correction—across various domains. The paper presents a three-stage architecture (application, replication, and auto-replication) that underpins this process and defines how AI systems evolve from passive data tools to active generators of theoretical knowledge. Within the framework of GAI, the automation of research is not only a technological advancement but a philosophical redefinition of epistemology, agency, and the structure of scientific inquiry. The implications for ethics, methodology, and human-AI collaboration are explored, particularly as AI begins to replicate and surpass traditional forms of human reasoning.