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

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.