arXiv q-fin· Haochen Li, Xinshuai Guo, Jingdong Ouyang, Wei Zhang, Leilei Shi·· 5 hr agoAI Score31
Adaptive Entanglement Neurons in the Brain and Natural Intelligence Simulation for Artificial General Intelligence
Adaptive Entangled Neurons in the Brain and Natural Intelligence Simulations for Artificial General Intelligence
AI summary
The study models the collective behavior of adaptive interactive agents based on a generalized probability wave framework, and verifies the Liu-Chen-Ao (LCA) entangled neural fiber hypothesis by analyzing Chinese intraday stock market data. The results show that adaptive entanglement game patterns can explain 82%-94% of decision-making patterns, with less than 5% of behaviors being completely independent. This research provides new ideas for building more efficient and robust artificial general intelligence.
Source:arXiv q-fin · arxiv.org