TM–BM Resonance: Why Stimuli Are Not Universal and Why Chemistry Is Not Emotion

This paper introduces the TM–BM Resonance model, a mechanistic framework that reframes emotion as a computed meaning-state rather than a biochemical substance. Contrary to traditional external stimulus theories, the model argues that external inputs are neutral data (Temporary Memory, TM) and become stimuli only after matching internal memory blueprints (Bold Memory, BM). The resulting match generates meaning (emotion), which then triggers activation mechanisms—biochemical in biological systems and digital in artificial systems. The framework resolves key problems in psychology and cognitive science, including subjectivity (why individuals react differently to the same event), conditioning (reinterpreting Pavlovian responses as activation rather than emotion), and the persistence of superstition and bias through a “blind match” mechanism, where false narratives stored in BM can still produce real physiological activation. Extending the model to Artificial Intelligence, the paper argues that AI should not simulate biological hormones but instead replicate their functional role via digital activation signals expressed through an Ambient Reaction System (ARS), including environmental and interface-based reactions. The TM–BM Resonance model provides a unified, implementable pathway for understanding emotion in humans and designing embodied affective behavior in synthetic systems.