Research on Cognitive Entanglement Deconstruction Mechanism Based on Mental Imagery and High-Dimensional Topological Convergence

In high cognitive load scenarios such as complex decision-making and human-computer interaction, human cognitive systems often suffer from computing deadlocks and cognitive entanglement due to visual-proprioceptive mismatch or conflicting logics. This study proposes an embodied topological reconstruction model based on mental imagery. By transforming the phase conflict of a 2D mirror into a 3D spinning fluid dual-sphere system, it effectively releases neuronal computing consumption, providing a novel theoretical framework for breaking game defense biases and constructing anti-fragile metacognitive training.