Adaptive Entangled Game Modules in Artificial General Intelligence

2026-09-07

AI Summary

通过概率波框架和广义行为智能方程，研究解决了金融市场中交易者集体行为模式问题，支持了非局域纠缠神经纤维假说，并提出将自适应纠缠游戏模块整合到通用人工智能中。

Abstract

We introduce a probability-wave framework for modeling the collective behavior of interacting adaptive agents, deriving testable eigenmodes through a generalized behavioral intelligence (GBI) nonlocal probability-wave equation. This framework captures a broad range of human intelligence behaviors with analytical mechanisms and offers an indirect method to examine the Liu-Chen-Ao (LCA) hypothesis of nonlocal entangled nerve fibers in the brain through collective trader behaviors. Our empirical analysis of Chinese intraday stock market data demonstrates that adaptive entangled game modes explain 82-94% (89% overall) of observed decision patterns, a sharp contrast to the predictions of neoclassical finance based on independent rational agents. Moreover, 2-12% of behaviors show adaption to intraday news, events, and environments, characterized by dual equilibrium states and abrupt reference point shifts, while purely independent modes occur in less than 5% of cases. These findings empirically support the LCA hypothesis, as observable trading behaviors reflect underlying brain mechanisms and internal intelligence decision-making in behavioral psychology. Our results highlight the necessity of incorporating adaptive entangled game modules into artificial general intelligence (AGI) architectures, addressing the limitations of conventional artificial neural network (ANN)-based AI, which relies on trillions of opaque parameters. By integrating ANN-based AI with probability-wave-based entangled-brain simulations, machine learning can enrich AGI foundation models (FMs) and facilitate the development of human-like processing units (HPUs) that leverage brain-inspired mechanisms. Such HPUs may ultimately create more compact, efficient, and robust AGI systems, particularly for embodied intelligence and robotics.

Problem

• Adaptive Entangled Game Modules
• Artificial General Intelligence
• Liu-Chen-Ao Hypothesis
• Nonlocal Probability-Wave

Innovation

• probability-wave framework
• adaptive entangled game modules
• generalized behavioral intelligence (GBI)
• Liu-Chen-Ao (LCA) hypothesis
• artificial general intelligence (AGI)