This paper introduces an energy-based coherence principle for reasoning systems within the framework of the Reasoning Turing Machine (RTM). An explicit scalar functional is defined to measure alignment between cognitive inference and valuation pathways, coupled with a contradiction tension term governing epistemic conflict. The resulting total energy serves as a stability functional for continuous-time dynamics, yielding attractor behavior under gradient-based adaptation. The manuscript formalizes internal coherence as a dynamical condition in bounded reasoning systems constrained by computability limits.
Khajouei et al. (Wed,) studied this question.