通过决策一致性判断模型有效性，无需预设边界。
Decision Oriented Technique (DOTechnique): Finding Model Validity Through Decision-Maker Context
- 以决策是否一致替代输出相似性评估模型有效性
- 在无明确有效性边界时仍能高效定位有效区域
- 适合关注模型可信度的决策者与系统设计者
模型有效性与模型本身同样关键，尤其在辅助决策时。传统方法依赖预定义的有效性框架，但这类框架往往不可得或不足。本文提出决策导向技术（DOTechnique），通过评估代理模型与高保真模型是否产生相同决策，来判断模型有效性，而非比较输出相似性。该方法可在缺乏显式有效性边界的情况下，高效识别有效性区域。通过引入领域约束与符号推理缩小搜索空间，显著提升计算效率。以高速公路变道系统为例，展示了如何利用DOTechnique发现仿真模型的有效性范围。结果表明，该技术可有效支持基于决策者上下文的模型有效性判断。
原文摘要 · Abstract (English)
Model validity is as critical as the model itself, especially when guiding decision-making processes. Traditional approaches often rely on predefined validity frames, which may not always be available or sufficient. This paper introduces the Decision Oriented Technique (DOTechnique), a novel method for determining model validity based on decision consistency rather than output similarity. By evaluating whether surrogate models lead to equivalent decisions compared to high-fidelity models, DOTechnique enables efficient identification of validity regions, even in the absence of explicit validity boundaries. The approach integrates domain constraints and symbolic reasoning to narrow the search space, enhancing computational efficiency. A highway lane change system serves as a motivating example, demonstrating how DOTechnique can uncover the validity region of a simulation model. The results highlight the potential of the technique to support finding model validity through decision-maker context.
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