This article presents a novel mathematical framework that describes intelligence and decision-making as dynamic trajectories in complex space. Drawing inspiration from quantum mechanics, the model uses concepts like superposition and wave-like evolution, though it does not assume quantum processes physically occur in the brain. Instead, it adopts a quantum-like computational framework to reflect the adaptability and fluidity of human cognition. By viewing intelligence as navigation through complex fractal information spaces, this approach offers a fresh perspective for Artificial General Intelligence (AGI) development, diverging from traditional AI methods. The article outlines the mathematical framework, explores AGI implications, and proposes theoretical avenues for applying these ideas—particularly within phase-based systems and quantum neural networks—while highlighting future research directions.