Empathic Logic Model (ELM): A Cognitive-Interactional Coherence Framework for Regulating Interpretive Instability

Human meaning-making under uncertainty frequently defaults to premature interpretive closure (PIC). Under emotional activation or cognitive bias, this generates disproportionate emotional reactivity and relational tension. To regulate this instability, the Empathic Logic Model (ELM) is introduced, synthesizing applied conversational observation, system design principles, and computational logic. ELM is conceptualized as an internal cognitive regulatory architecture that operationalizes regulation externally through a structured perceptual, clarificatory, and communicative interface, integrating cognitive empathy with logical attribution. The model aligns subjective internal states (What) with contextual explanatory attributions (Why) across three sequential modes: Contextual Expression, Contextual Exploration, and Recursive Proportional Alignment. Functioning as a dual-regulatory mechanism, ELM structures communicative syntax to decelerate the Interpretive Velocity Parameter, actively redirecting metabolic and cognitive processing from amygdala-driven threat responses toward prefrontal executive networks for both the initiator and receiver. Consequently, ELM operates as a closed-loop control architecture where stabilization attempts are behaviorally tested and recursively adjusted until a Contextual Sufficiency Criterion is satisfied. Furthermore, through Developmental Encoding and asynchronous habituation, repeated application transforms this deliberate executive regulation into an internalized, automatic cognitive habit. Emerging from seven years of applied observation across thousands of interactions, ELM’s regulatory components were systematically mapped onto empirically established psychological, linguistic, and neurobiological mechanisms, including predictive processing, affect labeling, uncertainty reduction, conversation analysis, and self-determination theory. Bounded by explicit cognitive, adversarial, and implementation limitations, and emphasizing epistemic humility, ELM provides a systematic, scalable architecture for maintaining proportional interpretive coherence in complex social interactions.