Andean Epistemology, Ch’ixi, and Neutrosophic Logic
Keywords:
Andean epistemology, neutrosophy, artificial intelligence, ch'ixi, yanantinAbstract
This article explores the potential of Andean epistemology—rooted in principles of
complementarity (yanantin), interdependence, and indeterminacy—to enrich contemporary science
and artificial intelligence (AI). By transcending binary logic through concepts like ch’ixi
(simultaneous coexistence of opposites) and yanantin, Andean thought aligns with Florentin
Smarandache’s neutrosophic logic, a system that formalizes truth (T), falsehood (F), and
indeterminacy (I) to navigate ambiguity. Smarandache’s MultiAlism, which emphasizes the
coexistence of multiple perspectives, further resonates with Andean cosmovision, offering a
framework to reinterpret mythology and folklore beyond rigid dualities. Integrating these
principles into AI could foster systems that better handle uncertainty, cultural context, and ethical
complexity. However, current models like GPT-4 exhibit critical limitations: biases toward
overestimating truth values (T) and artificially clustering indeterminacy (I ≈ 0.7), flattening nuanced
concepts such as yanantin and ch’ixi. Additionally, the low semantic similarity (cosine = 0.17)
between AI-generated justifications and original Andean texts reveals gaps in replicating cultural
terminology and relational reasoning, underscoring the need for epistemologically grounded AI
design. Future work should prioritize expanding datasets with contextualized examples—including
regional variations, ritual practices, and neutrosophic scales (T, I, F)—employing advanced
language models aligned with Andean epistemological annotations and integrating hybrid post
processing strategies such as bilingual (Quechua/Spanish) fine-tuning and expert collaboration for
culturally and technically rigorous validation. By bridging Andean philosophy with Smarandache’s
neutrosophic frameworks, this research advocates for culturally inclusive AI capable of honoring
pluralistic worldviews, fostering equitable knowledge systems, and advancing technologies that
serve humanity and the planet holistically.
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