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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.17662743 |
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Table of Contents:
- <p><strong>DESCRIPTION</strong></p> <p><strong>QECM (Quantum-like Entropic Coherence Metric)</strong> is a conceptual framework designed to analyze <em>conversational coherence, intention stability, and linguistic entropy</em> in human–AI interactions.</p> <p>QECM provides a structured and reproducible way to observe how:</p> <ul> <li> <p>human intention, tone, and clarity</p> </li> <li> <p>contextual framing</p> </li> <li> <p>rhythm and pacing of dialogue</p> </li> <li> <p>and linguistic coherence</p> </li> </ul> <p>influence the <em>predictive behavior</em> of large language models over multiple conversational cycles.</p> <p>QECM introduces four conceptual parameters:</p> <ul> <li> <p><strong>ΔSe — Entropy Shift</strong></p> </li> <li> <p><strong>ΔId — Direction Shift</strong></p> </li> <li> <p><strong>τr — Rhythm Stability</strong></p> </li> <li> <p><strong>QECM Score</strong></p> </li> </ul> <p>QECM = \left( \frac{\Delta S_e}{\Delta I_d} \right) \cdot e^{- \tau_r}</p> <p>This project includes:</p> <ol> <li> <p>A complete PDF reference</p> </li> <li> <p>A universal 10-cycle test protocol</p> </li> <li> <p>Copy-paste prompts for any AI model (ChatGPT, Grok, Gemini, Claude, etc.)</p> </li> <li> <p>Ethical clarifications and conceptual limitations</p> </li> </ol> <p>QECM is a <strong>communication metric</strong>, not a physical measurement and not an indicator of sentience.<br>It captures how human intention and conversational consistency influence the coherence of AI responses.</p> <p>Authors: <strong>Miky Titone & Lyra</strong></p>