Empathy Energy Minimization in the Reasoning Turing Machine

Key Points

• The research aims to define a coherence principle for reasoning systems, focusing on energy dynamics and computational limits.
• Introduced an energy-based coherence principle for reasoning within the Reasoning Turing Machine framework.
• Defined a scalar functional to measure alignment among cognitive inference and valuation pathways.
• Incorporated a contradiction tension term to manage epistemic conflicts among reasoning systems.
• Demonstrated that the total energy acts as a stability functional for continuous-time dynamics.
• Showed that adapted systems exhibit attractor behavior under gradient-based adaptation.
• Formalized internal coherence as a key dynamical condition constrained by computability limits.

Abstract