Wang Yuchen, Miao Yanqin, Fu Gang, Lu Peng, Yang Yikun, Gu Wen, Fang Zijie, Niu Lei
School of Civil Engineering, Guangzhou University, Guangzhou 510006, China.
Shaoxing Electric Power Equipment Co., Ltd., Shaoxing 312025, China.
Sensors (Basel). 2024 Sep 19;24(18):6047. doi: 10.3390/s24186047.
Norms have been effectively utilized to facilitate smooth interactions among agents. Norms are usually the global data that agents cannot directly access in complex environments; instead, norms can only be indirectly accessed by agents via maintaining their own beliefs about norms. Establishing norms using decentralized interaction-based methods has attracted much attention. However, the current methods overlook Industrial Internet of Things (IIoT) environments. In IIoT, there is a prevalent feature called "conflict-blocking", where agents' conflicting action strategies can block an interaction from being completed or even cause danger. To facilitate norm emergence in IIoT, we propose a framework to support agent decisions in conflict-blocking interactions. The framework aids in achieving system scalability by integrating the fusion of agent beliefs about norms. We prove that the proposed framework guarantees norm emergence. We also theoretically and experimentally analyze the time required for norm emergence under the influence of various factors, such as the number of agents. A vehicle movement simulator is also developed to vividly illustrate the process of norm emergence.
规范已被有效地用于促进主体之间的顺畅交互。规范通常是主体在复杂环境中无法直接访问的全局数据；相反，主体只能通过维持自己对规范的信念来间接访问规范。使用基于分散交互的方法来建立规范已引起了广泛关注。然而，当前的方法忽视了工业物联网（IIoT）环境。在工业物联网中，存在一种普遍的特征，称为“冲突阻断”，即主体相互冲突的行动策略可能会阻止交互完成，甚至会导致危险。为了促进工业物联网中的规范出现，我们提出了一个框架，以支持主体在冲突阻断交互中的决策。该框架通过整合主体对规范的信念融合来帮助实现系统可扩展性。我们证明了所提出的框架保证了规范的出现。我们还从理论和实验上分析了在各种因素（如主体数量）影响下规范出现所需的时间。还开发了一个车辆运动模拟器来生动地说明规范出现的过程。
