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Which Differences Matter? Controlled Tests of Rule Transfer, Joint Reliability, and Information Use in Decision Models

Tianyou Lai, Wentao Yue, Zhiwei Zuo, Qilei Li · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.30045 · cited by 0 works (OpenAlex) · open-access PDF

French

Les modèles de décision cartographient les règles déclarées et les états observés en réponses discrètes. L'exactitude agrégée ne résout pas les changements de règle et d'information qui guident ces réponses. Nous connectons les changements d'entrée contrôlés au transfert, à la fiabilité conjointe et à l'utilisation d'informations dirigées par des règles arithmétiques exécutoires. La séparation de règle sémantique et les tests de règle croisée et d'état rendent le transfert et le succès conjoint mesurables séparément. Nous comparons les formules équivalentes, calibrons la correctivité conjointe par la réassociation de conservation marginale et altérons les tables pour définir les cibles de réponse alternatives

Machine translation (Meta M2M100); the English original follows.

Abstract

Decision models map stated rules and observed states to discrete answers. Aggregate accuracy leaves unresolved which rule and information changes guide those answers. We connect controlled input changes to transfer, joint reliability, and directed information use through executable arithmetic rules. Semantic rule separation and crossed rule and state tests make transfer and joint success separately measurable. We compare equivalent wordings, calibrate joint correctness through marginal-preserving reassociation, and alter tables to define alternative answer targets. Adaptation gains increase with nearest-source answer agreement; fully conflicting quartets yield small pooled gains and different gain signs across source splits. Equivalent rewrites have opposing task-level effects, linking transfer gains to rule presentation. Joint-score departures depend on which rule and state associations the reference preserves. A decision service changes answers more across equivalent wordings than across identical-text repeats and usually follows the answer targets implied by altered table values or mappings.

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Topics: Decision rule, Computer science, Joint (building), Aggregate (composite), Correctness, Executable

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