The AI Rational Thought Framework: A Cognitive Approach to Truth Classification

A structured methodology designed to evaluate, categorize, and refine truth through iterative reasoning. Unlike traditional AI models that rely solely on data retrieval, this framework integrates logical processing to distinguish between known truths (T_k), theories (T_th), and fiction (T_f) while recognizing unresolved inquiries (Q). We applied this system to multiple real-world and historical claims, assessing its strengths, weaknesses, and potential applications

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-27
DOI
https://doi.org/10.5281/zenodo.14934763
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
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article

The AI Rational Thought Framework: A Cognitive Approach to Truth Classification

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

The AI Rational Thought Framework: A Cognitive Approach to Truth Classification

article en

Abstract

A structured methodology designed to evaluate, categorize, and refine truth through iterative reasoning. Unlike traditional AI models that rely solely on data retrieval, this framework integrates logical processing to distinguish between known truths (T_k), theories (T_th), and fiction (T_f) while recognizing unresolved inquiries (Q). We applied this system to multiple real-world and historical claims, assessing its strengths, weaknesses, and potential applications

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 75%
Explainable Artificial Intelligence (XAI)
DOIOpen Access PDFOpenAlex
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The AI Rational Thought Framework: A Cognitive Approach to Truth Classification · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS