Controlling Chaos: A Comprehensive AI-Based Solution to the Relativistic–Quantum Three-Body Problem

This work presents a paradigm-shifting solution to the classical three-body problem by embedding relativistic, quantum, and gravitational wave corrections into a unified framework. Unlike traditional approaches that focus on ever more precise prediction, this model leverages a real-time, self-updating AI Tensor that actively shapes the system’s dynamics. The core philosophy is that chaos should be controlled, not merely forecasted. The paper includes full derivations, physical interpretations, numerical estimates, and a proposed experimental roadmap, making it suitable for publication and implementation in advanced gravitational dynamics, AI-based control theory, and space mission design.