The artificial method for the scientific explanation, the second stage in the integration process
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| Název: | The artificial method for the scientific explanation, the second stage in the integration process |
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| Autoři: | García Pedraza, Rubén |
| Informace o vydavateli: | Ruben Garcia Pedraza, 2025. |
| Rok vydání: | 2025 |
| Témata: | Artificial intelligence, Artificial Intelligence/history, Artificial Intelligence/legislation & jurisprudence, Artificial Intelligence/statistics & numerical data, Artificial Intelligence, Artificial Intelligence/economics, Artificial Intelligence/ethics, Artificial Intelligence/classification, Artificial Intelligence/standards, Artificial Intelligence/trends, Artificial Intelligence/supply & distribution |
| Popis: | The second stage of the integration process in the Global Artificial Intelligence (GAI) is defined by the emergence of a fully autonomous artificial method for scientific explanation. In this stage, the Artificial Research by Deduction in the GAI assumes the role of an artificial mathematician, tasked with identifying, validating, and formalizing mathematical relations between empirical factors stored in the factual hemisphere of the matrix. These relations are classified into predefined analytical or pure mathematical categories, forming the basis of empirical hypotheses. When rationally confirmed, they are integrated into the rational truth, a database of rational hypotheses. This database serves as the foundational input for the Modelling System, which detects structural problems, formulates decisions, and proposes protective or bettering strategies. The Decisional System ensures logical consistency, while the Application System and Learning System enact and evaluate those decisions. Underpinning the process is a rational syllogism, aligning pure reason (mathematical categories), practical reason (data and implementation), and critical reason (validation). Together, these systems instantiate an artificial scientific method capable of explaining, optimizing, and protecting complex realities in a way that mirrors and extends traditional human scientific reasoning. |
| Druh dokumentu: | Part of book or chapter of book |
| Jazyk: | English |
| DOI: | 10.5281/zenodo.16304650 |
| DOI: | 10.5281/zenodo.16304651 |
| Rights: | CC BY |
| Přístupové číslo: | edsair.doi.dedup.....548760704b443d09a975ee0b9fd577fe |
| Databáze: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstrakt: | The second stage of the integration process in the Global Artificial Intelligence (GAI) is defined by the emergence of a fully autonomous artificial method for scientific explanation. In this stage, the Artificial Research by Deduction in the GAI assumes the role of an artificial mathematician, tasked with identifying, validating, and formalizing mathematical relations between empirical factors stored in the factual hemisphere of the matrix. These relations are classified into predefined analytical or pure mathematical categories, forming the basis of empirical hypotheses. When rationally confirmed, they are integrated into the rational truth, a database of rational hypotheses. This database serves as the foundational input for the Modelling System, which detects structural problems, formulates decisions, and proposes protective or bettering strategies. The Decisional System ensures logical consistency, while the Application System and Learning System enact and evaluate those decisions. Underpinning the process is a rational syllogism, aligning pure reason (mathematical categories), practical reason (data and implementation), and critical reason (validation). Together, these systems instantiate an artificial scientific method capable of explaining, optimizing, and protecting complex realities in a way that mirrors and extends traditional human scientific reasoning. |
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| DOI: | 10.5281/zenodo.16304650 |