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Replication processes in Artificial Research by Deduction in the Global Artificial Intelligence

Pedraza, R. · 2025
PhilArchive · Papers · 2025
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philosophy
This paper explores the replication processes involved in Artificial Research by Deduction within the framework of the Global Artificial Intelligence (GAI). Specifically, it focuses on the second stage of Artificial Research by Deduction, which follows the construction of the global matrix—a unified, standardized data architecture formed by integrating specific matrices and databases from all sciences, disciplines, and activities. The paper adopts the second strategy of matrix construction, wherein each specific matrix is treated as a single factor supplying structured flows of information packages composed of nested sub-factors. Once the global matrix begins receiving data from robotic measurement systems, the flow of information packages is continuously transformed into a flow of empirical hypotheses. These hypotheses are then subjected to rational contrastation, using statistical, probabilistic, or other logical methods. Validated hypotheses become part of the system’s rational truth, supporting the construction of virtual models and informing descriptive research decisions grounded in moral and practical principles. These decisions are transferred to the Decisional System, while hypotheses and models are forwarded to the Modelling System to generate predictive and evolutionary models. The paper emphasizes the collaborative and recursive interaction among all core systems of GAI—including Artificial Research by Deduction, the Modelling System, the Decisional System, the Learning System, and the Application System—each functioning as an autonomous yet interdependent organ within a unified cognitive structure. The result is a non-stop, self-sustaining process of scientific reasoning and decision-making, effectively replicating human rationality at a planetary scale. Ultimately, the replication processes described here pave the way toward full auto-replication, the third and final stage of Artificial Intelligence, in which the system evolves, improves, and sustains itself independently.
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