AI-Driven Comparative Study of Meitei Pakhangba and Chinese Ouroboros Dragons

This interdisciplinary research paper explores a symbolic and visual comparison between the Meitei cultural icon Paphal (associated with Pakhangba) and the ancient symbol of the Ouroboros dragon from Chinese and Western traditions. Using artificial intelligence—specifically OpenAI’s CLIP (Contrastive Language-Image Pre-training) model—this study analyzes the visual-semantic similarity between the two icons. The research calculates cosine similarity scores (~0.76) through AI-driven vector analysis, revealing that both symbols, though emerging from isolated civilizations, reflect shared concepts of cosmic unity, eternal cycles, and spiritual balance. The study combines mythology, symbolic geometry, and deep learning techniques to argue that these dragons are not just cultural artwork, but encoded carriers of collective memory. Conducted independently, this project bridges mythology and modern AI to propose that ancient rituals and icons may form a universal symbolic language embedded in the human psyche.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-25
DOI
https://doi.org/10.5281/zenodo.15511656
Primary Topic
Artificial Intelligence Applications
Type
article
Field-Weighted Citation Impact
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article

AI-Driven Comparative Study of Meitei Pakhangba and Chinese Ouroboros Dragons

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence Applications
article

AI-Driven Comparative Study of Meitei Pakhangba and Chinese Ouroboros Dragons

article en

Abstract

This interdisciplinary research paper explores a symbolic and visual comparison between the Meitei cultural icon Paphal (associated with Pakhangba) and the ancient symbol of the Ouroboros dragon from Chinese and Western traditions. Using artificial intelligence—specifically OpenAI’s CLIP (Contrastive Language-Image Pre-training) model—this study analyzes the visual-semantic similarity between the two icons. The research calculates cosine similarity scores (~0.76) through AI-driven vector analysis, revealing that both symbols, though emerging from isolated civilizations, reflect shared concepts of cosmic unity, eternal cycles, and spiritual balance. The study combines mythology, symbolic geometry, and deep learning techniques to argue that these dragons are not just cultural artwork, but encoded carriers of collective memory. Conducted independently, this project bridges mythology and modern AI to propose that ancient rituals and icons may form a universal symbolic language embedded in the human psyche.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 75%
Artificial Intelligence Applications
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