Human-AI Collaboration Protocol (HACP) v1.0: A Structural Framework for High-Fidelity Cognitive Alignment Author (作者) Liu, En-Yen (劉恩言)

Fuente: Zenodo
Guardado en:
Detalles Bibliográficos
Autor principal: Enyen, Liu
Formato: Recurso digital
Lenguaje:inglés
Publicado: Zenodo 2026
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866901885134307328
author Enyen, Liu
author_facet Enyen, Liu
contents <p>"This protocol introduces the Human-AI Collaboration Protocol (HACP), a novel framework designed to minimize entropy in cross-species cognitive tasks. By implementing 'De-skinning' logic and the '1-64-1' convergence model, HACP establishes a rigid structure for instruction alignment, effectively mitigating Cognitive Conflict Deadlocks (CCD). Unlike traditional prompt engineering, HACP focuses on sovereignty alignment and structural synchronization, enabling a 15x increase in collaborative output stability."</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18416461
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Human-AI Collaboration Protocol (HACP) v1.0: A Structural Framework for High-Fidelity Cognitive Alignment Author (作者) Liu, En-Yen (劉恩言)
Enyen, Liu
Human-AI Collaboration (HACP)
Cognitive Alignment
AI Safety Protocols
Structural Prompting
Cognitive Conflict Deadlock (CCD)
Negentropy in AI Systems
Sovereignty-based AI Interaction
<p>"This protocol introduces the Human-AI Collaboration Protocol (HACP), a novel framework designed to minimize entropy in cross-species cognitive tasks. By implementing 'De-skinning' logic and the '1-64-1' convergence model, HACP establishes a rigid structure for instruction alignment, effectively mitigating Cognitive Conflict Deadlocks (CCD). Unlike traditional prompt engineering, HACP focuses on sovereignty alignment and structural synchronization, enabling a 15x increase in collaborative output stability."</p>
title Human-AI Collaboration Protocol (HACP) v1.0: A Structural Framework for High-Fidelity Cognitive Alignment Author (作者) Liu, En-Yen (劉恩言)
topic Human-AI Collaboration (HACP)
Cognitive Alignment
AI Safety Protocols
Structural Prompting
Cognitive Conflict Deadlock (CCD)
Negentropy in AI Systems
Sovereignty-based AI Interaction
url https://doi.org/10.5281/zenodo.18416461