AI 中文总结
研究异构物流系统中自主与非自主设备混合时的责任分配问题，提出世界模型感知责任框架WMARF，依模型质量和自动化水平动态分权限并分类死锁，通过模拟验证其有效性及随自主性提高仍有效的特性。
AI 中文摘要
物流系统在中央控制系统下越来越多地将自主物流设备与非自主机械混合使用，最佳决策者取决于谁拥有最新世界模型，但权限在设计时就已固定。当自主物流设备的局部模型与中央控制系统的全局模型出现分歧时，会产生基于资源处理无法解释或预防的死锁。我们提出了世界模型感知责任框架（WMARF），它根据中央控制系统世界模型质量和设备自动化水平动态分配权限，并按权限状态对死锁进行分类。在通过VDA~5050接口重现的两个自主物流设备在半自动转运点会合的离散事件模拟中，接近触发的切换防止了静态控制下的分歧死锁。由于权限遵循信息质量而非共享协议，该方案随着自主性的提高仍然有效。
英文摘要
Logistics systems increasingly mix \emph{autonomous logistic equipment} (ALE) with non-autonomous machinery under a central control system (CS), where the best decision-maker depends on who holds the most current world model, yet authority is fixed at design time. When an ALE's local model and the CS global model diverge, both act on incompatible beliefs and produce deadlocks that resource-based handling neither explains nor prevents. We propose the World-Model-Aware Responsibility Framework (WMARF), which assigns authority dynamically from CS world-model quality and equipment automation level, and classifies deadlocks by the state of authority -- none, in transition, or divergent. In a discrete-event simulation of two ALE converging on a semi-automated transfer point, reproduced over the VDA~5050 interface, a divergence deadlock under static control is prevented by a proximity-triggered handoff. Because authority follows information quality rather than a shared protocol, the scheme stays valid as autonomy grows.
