迈向网络物理系统设计中的错觉意识
Towards Illusions Awareness in Cyber-Physical System's Design
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中文总结 AI 辅助
本文针对网络物理系统设计中因无效假设导致现实差距的问题，提出设计错觉概念及一条识别、分类、表征并利用错觉的概念性流程，以转化为可操作设计知识。
中文摘要 AI 辅助
网络物理系统（CPS）在开放环境上下文中通过持续的感知-计算-执行循环运行，这使得无法预见系统将面临的所有情况。为了应对这种开放性，利益相关者依赖假设，并将其形式化为设计模型。然而，一旦系统面对运行时现实，这些假设可能不再成立，导致预期行为与观察行为之间的差异，这在文献中被称为现实差距。现有方法主要侧重于通过使模拟更贴近现实来减少或克服这一差距，但缺乏统一的方法论来构建和利用导致这一差距的无效假设，并将其作为可复用的设计知识。我们将对无效假设的持续依赖——以及由此产生的对设计模型操作有效性的错误信心——称为设计错觉，并主张需要将其明确化、结构化，并作为知识加以利用，以支持更好的设计决策。我们提出了一条面向错觉意识的概念性流程，该流程能够识别、分类、表征并利用错觉，将其转化为可操作的设计知识。
英文摘要
Cyber-Physical Systems (CPS) operate through a continuous sense-compute-act loop within an open context environment, making it impossible to anticipate all the situations the system will face. To cope with this openness, stakeholders rely on assumptions, formalized into design models. However, these assumptions may no longer hold once the system is confronted with runtime reality, resulting in a discrepancy between expected and observed behaviour known in literature as the reality gap. Existing approaches mainly focus on reducing or overcoming it by making simulations more faithful to reality, with no unified methodology to structure and exploit invalidated assumptions that give rise to this gap as reusable design knowledge. We refer to the persistent reliance on invalidated assumptions -and the resulting false confidence in the design model's operational validity -as design illusions, and argue that they need to be made explicit, structured, and exploited as knowledge to support better design decisions. We propose a conceptual pipeline for illusions-awareness that identifies, classifies, characterizes, and leverages illusions to transform them into actionable design knowledge.
发表机构
- INRIA（法国国家信息与自动化研究所）
机构由 AI 辅助整理，请以论文原文为准。
