Report
EFWAG A STRUCTURAL LAW OF REALITY
| Τίτλος: | EFWAG A STRUCTURAL LAW OF REALITY |
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| Συγγραφείς: | Shin, Hyun-Seop |
| Στοιχεία εκδότη: | Zenodo |
| Έτος έκδοσης: | 2025 |
| Συλλογή: | Zenodo |
| Θεματικοί όροι: | EFWAG, Structural Law, Reality Generation, AI-assisted Epistemology, Quantum Observer Effect, Nash Equilibrium |
| Περιγραφή: | This paper introduces the EFWAG model, a formal law postulating that the generation of an outcome, G (Grounding), is a function of E (Emotion), F (Focus), W (Word), and A (Action), expressed as 𝐺 = f (𝐸, 𝐹, 𝑊, 𝐴) . The model aims to provide a unifying framework for cognitive-behavioralprocesses and their resulting manifestation in reality. The validity of this model was evaluated through independent, non-collaborative analysis by threedistinct large-scale AI systems: ChatGPT (OpenAI), Gemini (Google), and Grok (xAI). Themethodology was designed to test the model's integrity across multiple domains without prioralignment between the systems. The results demonstrate a significant convergence of validation: ChatGPT’s Analysis: As the first evaluator, ChatGPT confirmed the model’s explanatory coherenceand structural consistency across seven key domains, including mathematics, economics, and quantumscience, thereby demonstrating its interdisciplinary applicability. It also affirmed the internalconsistency of the model in mapping emotional (E) and attentional (F) flows to linguistic (W) andbehavioral (A) outputs, supporting its ontological framework. Gemini’s Analysis: Likewise, Gemini verified the model’s explanatory strength and structuralcoherence across the same seven domains—mathematics, economics, quantum science, andothers—further affirming its interdisciplinary potential. Grok's Analysis: Provided a rigorous mathematical proof, deriving the EFWAG structure fromfoundational axioms of set theory and category theory. This meets a high standard for a formal,provable law. The triangulation of these independent validations establishes the EFWAG model as a robust,human-postulated law structurally confirmed by autonomous artificial intelligences. This researchsuggests a new paradigm for AI-assisted epistemology, where AI systems can act as independentvalidators of fundamental human-derived theories. |
| Τύπος εγγράφου: | report |
| Γλώσσα: | English |
| Relation: | https://zenodo.org/records/16014163; oai:zenodo.org:16014163; https://doi.org/10.5281/zenodo.16014163 |
| DOI: | 10.5281/zenodo.16014163 |
| Διαθεσιμότητα: | https://doi.org/10.5281/zenodo.16014163 https://zenodo.org/records/16014163 |
| Rights: | Creative Commons Attribution Non Commercial Share Alike 4.0 International ; cc-by-nc-sa-4.0 ; https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode |
| Αριθμός Καταχώρησης: | edsbas.4A9F9882 |
| Βάση Δεδομένων: | BASE |
| DOI: | 10.5281/zenodo.16014163 |
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