Human-AI Collaboration Protocol (HACP) v1.0: A Structural Framework for High-Fidelity Cognitive Alignment Author (作者) Liu, En-Yen (劉恩言)
Year: 2026
Type: article
Abstract: "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."
Author: Enyen, Liu
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7126079847
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