arXiv cs.AI· Tianyou Lai, Wentao Yue, Zhiwei Zuo, Qilei Li·· 13 小时前AI 评分31
决策模型中的规则迁移、联合可靠性与信息使用：受控测试研究
Which Differences Matter? Controlled Tests of Rule Transfer, Joint Reliability, and Information Use in Decision Models
AI 导读
研究通过可执行算术规则对决策模型进行受控输入变更测试，分别度量规则迁移与联合成功率。结果显示，适配增益随与最近源答案的一致性提高而增加，完全冲突的四元组仅带来很小的合并增益且不同源划分下增益符号相反；等价改写会产生相反的任务级效应。某决策服务在等价措辞间的答案变化大于相同文本重复，且通常遵循改动表格值或映射所隐含的答案目标。
正文 · 原文
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.
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.30045 [cs.AI] |
| (or arXiv:2610.30045v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.30045 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Tianyou Lai [view email]
[v1]
Wed, 21 Oct 2026 17:04:02 UTC (779 KB)
来源：arXiv cs.AI · arxiv.org