The Anticipatory Context-Feedback Reconfiguration Principle (ACFRP) Keywords: anticipated feedback; context-dependent behavior; functional reconfiguration; response divergence; anticipatory evaluation; functional realization; systems theory.

AbstractThis paper proposes the Anticipatory Context-Feedback Reconfiguration Principle(ACFRP), a conditional explanatory framework for testing how anticipated feedback andcontext may alter a system's functional processing and realized output. Its primary case isan interpersonal response discrepancy: one person addresses another, while the recipient doesnot provide the response that is functionally appropriate under an independently specifiedcriterion or does not provide the response the recipient intended to provide.The observed output may be silence, omission, substitution, attenuation, delay, partialrealization, an alternative expression, or full realization.The proposed mechanism separates input registration, context representation, anticipated-feedback estimation, evaluative weighting, functional reconfiguration, output realization, andfeedback assimilation. The framework distinguishes a criterion-based reference response, anintended response, and the observed response. It also separates the system's anticipatedfeedback from actual feedback and the external criterion from the system's own valuation.A parameterized decision model and divergence measures are presented as candidateoperational tools, not as a universally valid mathematical law.The paper specifies conditional propositions, testable hypotheses, scope conditions, alterna-tive explanations, boundary cases, a 30-case research bank, domain-specific operationalizationguidance, and a 14-stage research workflow. It positions the proposal in relation to establishedwork on planned behavior, audience design, organizational silence, strategic silence, andcognitive control.No original empirical data are reported. The novelty, explanatory advantage, and cross-domain applicability of ACFRP therefore remain open questions that require systematicliterature review, preregistered testing, replication, and comparison with competing models.