科学假说:太极统一场论对通用世界模型的底层超越与统一重构 Scientific Hypothesis: The Underlying Transcendence and Unified Reconstruction of the General World Model by Tai Chi Unified Field Theory

当前人工智能领域的通用世界模型以海量视频数据为基础,采用数字生成与物理行动双轨架构,试图连接虚拟空间与现实世界,但本质上属于数据驱动的经验归纳模型,存在物理本源缺失、泛化能力受限、仿真与现实脱节、误差无法自净化等核心缺陷。本文以太极统一场论(B版)为科学假说,以阴阳对偶律与对偶常数K≈−1为底层公理,完整引入阴阳六大核心方程、太极动力学方程、时空晶格体系与自适应平衡方程组,对现有通用世界模型进行公理级升维重构。研究表明,太极统一场论可从物理本源层面统一数字场与物理场,实现零样本自适应、误差自修正、全域泛化与虚实精准映射,理论深度、统一能力、工程鲁棒性全面超越当前数据驱动范式。本文构建的太极统一场智能体系,既是物理统一理论的延伸,也是下一代通用人工智能的底层框架,具备完整逻辑闭环与工程落地潜力。The current general world model in the field of artificial intelligence is based on massive video data and adopts a dual‑track architecture of digital generation and physical action, attempting to connect virtual space and the real world. However, it is essentially a data‑driven empirical induction model, with core defects such as lack of physical origin, limited generalization ability, disconnection between simulation and reality, and inability of error self‑purification. Based on the scientific hypothesis of Tai Chi Unified Field Theory (Version B), this paper takes the Yin‑Yang Duality Law and the duality constant K≈−1 as fundamental axioms, fully introduces the six core Yin‑Yang equations, Tai Chi dynamics equation, space‑time lattice system and adaptive balance equations, and carries out an axiomatic upgrade and reconstruction of the existing general world model. The results show that Tai Chi Unified Field Theory can unify the digital field and physical field from the origin of physics, achieve zero‑shot adaptation, error self‑correction, global generalization and accurate virtual‑real mapping. Its theoretical depth, unification ability and engineering robustness fully surpass the current data‑driven paradigm. The Tai Chi Unified Field Intelligent System constructed in this paper is not only an extension of the unified theory of physics, but also the underlying framework of the next generation of general artificial intelligence, with complete logical closed‑loop and engineering application potential.