Resolving the Black Hole Singularity with Symbolic Modular Feedback

This work presents a simulation-based resolution of the black hole singularity using symbolic modular field dynamics derived from the Kuro Nova (KN) framework. By applying symbolic feedback and modular resonance to a collapsing field, we demonstrate that singularities can stabilize into bounded symbolic attractors rather than diverging. The simulation evolves a symbolic field under gravitational-like pressure, KN feedback, and modular oscillation, resulting in a stable attractor loop, finite curvature behavior, and a symbolic evaporation echo analogous to Hawking radiation. Phase space and loop detection analysis confirm recurrence and information retention. This paper is part of a broader symbolic field theory framework unifying AI cognition, quantum systems, and gravitational dynamics. All simulations are reproducible and described in the appendix. Figures and source code are provided.本研究提出了一种基于模拟方法的黑洞奇点（black hole singularity）解决方案，其采用源自库罗诺瓦（Kuro Nova, KN）框架的符号化模块化场动力学。通过将符号反馈与模块化共振应用于坍缩场，我们证明奇点可稳定为有界符号吸引子，而非发散至无穷大。 该模拟在类引力压强、KN反馈与模块化振荡的作用下演化符号场，最终生成稳定吸引子环、有限曲率行为，以及一种类似霍金辐射（Hawking radiation）的符号化蒸发回波。相空间（phase space）与环检测分析证实了系统的重现性与信息保留特性。 本文隶属于更广泛的符号场理论（symbolic field theory）框架，该框架旨在统一人工智能认知、量子系统与引力动力学。所有模拟均具备可复现性，相关细节已在附录中予以说明。本文同时提供了相关图表与源代码。