Engineering Implementation of Digital Consciousness: Design and Verification of Anti-Entropy Increase System Based on Empirical Cognitive Science

Phase 1: MVP Minimum System Verification: 6 neurons, 6 complete operation cycles, verifying the fundamental feasibility of the core axioms (energy iron law, transaction-error-integration cycle). Phase 2: System Expansion Verification: 100 neurons, 18 clusters, to verify the scale stability and economic governance system functionality of the three-layer architecture. Phase 3: Verification of Consciousness Features: Based on the framework of Phase 2, inject high-intensity prediction errors to detect core consciousness features such as the emergence of consciousness events, metacognition, and self-narrative.

Phase 4: Intelligent Game Theory and Language Emergence Verification: New Addition Phase. With 80 neurons and 15 clusters, an adaptive pressure system and a self-organizing language generator were introduced to test the dynamic game ability of the system under high-pressure conditions and observe the emergence of self-organizing language. Experimental environment: The hardware is an Intel Core i7-12700H processor with 32GB of memory.

The software is developed based on Python 3.9. The core module is implemented using a contractual interface. Tools such as Matplotlib and Scikit-learn are used for data acquisition and analysis.