The Empathic Logic Model (ELM) is a conceptual interpretive systems framework that formalizes alignment as coherence between perceived contextual Logic (“Why”) and inferred internal-state Empathy (“What”) in human interaction. The model proposes that interpretive instability emerges when these dimensions are incomplete or misaligned, increasing compensatory inference across internal (self–self) and interpersonal (self–other) domains. By systematically identifying and articulating these dimensions, ELM aims to reduce unexamined inference, ambiguity amplification, and relational distortion. The framework integrates compatible principles from appraisal theory, predictive processing, social cognition, and neural coupling research while operating at the psychological–interactional level rather than the neural or computational level. The manuscript outlines theoretical structure, proposed mechanistic sequence, operational variables, boundary conditions, and testable hypotheses for future empirical validation.
Bavin Ram A R (Wed,) studied this question.