Resumen

HUMPIRI NUNEZ, Jimy; MAMANI TISNADO, Paul; BENITES NORIEGA, Juan  y  RODRIGUEZ TUPAYACHI, Cristian Rolando. Simulation prototype from artificial neural networks and its relation to extra-rationalist epistemologies. ESPACIO ABIERTO [online]. 2025, vol.34, n.3, pp.101-115.  Epub 04-Sep-2025. ISSN 1315-0006.  https://doi.org/10.5281/zenodo.15609201.

AI's quest to develop a machine that solves intellectual problems with almost the same skill as a human being runs into the debate sparked by various theories about the impossibility of ANNs to process epistemologies whose elements come from extra-rational fields, identifiable in emotional experience. The debate confronts some of the currently prevalent ancient and modern philosophies and theologies, as well as interactionist rationalism. However, it is proposed that measuring these fields only presents problems in terms of weighting. Attempting to conceptually establish the bases of the tension between the rational and the extra-rational, this article proposes using the notion of a philosophical field to integrate other epistemologies into simulation prototypes based on artificial neural networks. To this end, a traditional simulation experiment is established, applying the backpropagation network technique for optical character recognition, pattern recognition, and time series prediction. Its results are then discussed to speculatively establish some possibilities and limitations. It is concluded that simulation on philosophical fields is possible as long as technology can provide measurement devices for other epistemological realities.

Palabras clave : Philosophical field; epistemology; AI, system prototype; RNA.

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