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 regulatory 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, which may theoretically redirect 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 interdisciplinary mechanisms. Bounded by explicit limitations, and emphasizing epistemic humility, ELM provides a comprehensive, scalable architecture for maintaining proportional interpretive coherence in complex social interactions—ultimately functioning as an operating system for interpretive regulation by governing not only contextual interpretations, but also the valid regulatory state transitions through which interpretive processing unfolds. Formalization & Executable Repositories: Mathematical Formalization of ELM into Computational Architecture and Finite State Machine (discrete mathematics and calculus), available at: https://doi.org/10.5281/zenodo.22149070 Formalization of ELM into an executable Python library, available at: https://doi.org/10.5281/zenodo.22162082