(T, I, N, F) Neutrosophic Weak and Strong Paraconsistency and the Epistemics of Artificial Intelligence: Uncertainty, Pluralism, and the Decolonial Turn in Alignment

Authors

  • Florentin Smarandache University of New Mexico, Mathematics, Physics and Natural Sciences Division, 705 Gurley Ave., Gallup, NM 87301, USA —
  • Maikel Y. Leyva-Vázquez Universidad de Guayaquil, Facultad de Ciencias Matemáticas y Físicas, Guayaquil, Ecuador; Universidad Bolivariana del Ecuador (UBE), Coordinación Académica de Programas de Posgrado, Durán, Ecuador; Universidad Bernardo O’Higgins, Santiago, Chile —

Abstract

Over the past two years we have developed, with collaborators across Ecuador, Cuba and the United States, a 
research program arguing that the standard mathematical machinery used to represent uncertainty in artificial 
intelligence is paraconsistency-intolerant: it cannot hold well-supported contradictory evidence in view without 
collapsing it into a single number. This paper draws together three strands of that program — an empirical study 
of epistemic uncertainty in large language models (“Breaking the Chains of Probability”), a proposal for value 
alignment under irreducible cultural pluralism (“Aligning with Whom?”), and a decolonial reading of 
paraconsistent logic’s Latin American genealogy (“Pluriversal Alignment”) — and reads them through the    (T, 
I, N, F) = (Truth, Indeterminacy, Neutrality, Falsehood) Quadruple Neutrosophic Set and Logic,  introduced by 
Smarandache (2017) and the taxonomy of paraconsistency degrees: strong, weak, and very weak. We show that 
the three papers are not merely thematically related but occupy successive layers of a single argument: a 
representational critique (Section 3), a normative-architectural proposal built on that critique (Section 4), and a 
philosophical-historical justification for why the critique matters and to whom it is owed (Section 5). We then 
extend the framework outward, sketching how (T, I, N, F)-style paraconsistent representations could inform 
medical differential diagnosis, legal adjudication, multi-sensor robotics, misinformation triage, and pedagogy — 
domains that, like AI alignment, are routinely forced to compress genuine, well-evidenced disagreement into a 
single scalar. We close with a critical discussion of the program’s methodological maturity: much of the empirical 
evidence is preliminary and not yet independently replicated, and the philosophical claims deserve engagement 
from outside the neutrosophic-logic community before they can be considered established. 

 

DOI 10.5281/zenodo.21957636

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Published

2026-06-25

How to Cite

Florentin Smarandache, & Maikel Y. Leyva-Vázquez. (2026). (T, I, N, F) Neutrosophic Weak and Strong Paraconsistency and the Epistemics of Artificial Intelligence: Uncertainty, Pluralism, and the Decolonial Turn in Alignment. Neutrosophic Sets and Systems, 100, 221-232. https://fs.unm.edu/nss8/index.php/111/article/view/7716

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