Adaptive Regime Aggregation — Noise Reduction (ARA-NR) is a design-first adaptation of Adaptive Regime Aggregation (ARA) for reducing informational noise in decision and communication processes under limited information. ARA-NR treats noise not only as error, misinformation, randomness, or contradiction, but as an active field of admissible informational permutations inside a declared decision or communication frame. These permutations may include possible answers, questions, interpretations, assumptions, decisions, directions, subsystem openings, closure candidates, or other admissible informational movements. The adaptation introduces a step-indexed reduction architecture based on intuitive and given informational systems, active permutation fields, projected noise regions, Green-based boundary–interior closure logic, regime weighting, traceability conditions, false-closure protection, over-extension protection, status-preserving outputs, authorized expansion, and sufficient closure under declared acceptance authority. This record includes the ARA-NR formal document and an accompanying reproducible runner package. The runner package contains worked examples, stress tests, comparison cases, generated outputs, trace files, pipeline files, summary reports, architecture coverage, and a traceability matrix. The runner tests are architecture-faithfulness checks. They verify that the runner preserves the declared ARA-NR structure under controlled cases, including ordinary reduction, missing weighting, traceability failure, authorized expansion, and comparison behaviour. They are not presented as empirical proof of universal superiority over other decision-support or communication methods. ARA-NR does not claim architecture-independent truth, universal correctness, complete elimination of uncertainty, or universal optimality. Its claim is narrower: under declared systems, representations, metrics, weighting regimes, traceability conditions, risk thresholds, guidance spaces, transition rules, and acceptance authority, ARA-NR provides a formal architecture for reducing, exposing, pausing, expanding, composing, or closing active informational noise without silently hiding unresolved conditions or unnecessarily prolonging the process.
Boris Dzhongov (Wed,) studied this question.