The digital twin (DT) mainly acts as a virtual exemplification of a real-world entity, system, or process via multiphysical and logical models, allowing the capture and synchronization of its functions and attributes. The bridge between the actual system and the digital realm can be utilized to optimize the system’s performance, and forecast and predict its behavior. Incorporating intelligent and adaptive reasoning mechanisms into DTs is crucial to enable them to reason, adapt, and take efficacious actions in complex and dynamic environments. To this end, we introduce an approach for deploying agent-based DTs for cyber-physical systems. The foundation pillars of this approach are (1) integrating the concepts, entities, and relations of Zeigler’s modeling and simulation framework from the perspective of agent-based DTs; (2) utilizing an expandable and scalable architecture for designing and materializing these twins, which handily enables extending and scaling physical and digital assets of the system; and finally (3) a two-tier reasoning strategy; reactive and rational models are conceptually redefined in the context of the modeling and simulation framework of agent-based DTs and technically deployed to boost the adaptive reasoning and decision-making function of DTs. As a result, an implemented simulation and control platform for a multi-robot system demonstrates the approach’s applicability and feasibility, manifesting its usability and efficiency. The platform represents physical entities as autonomous agents, creates their DTs, and assigns adequate reasoning capability to promote adaptive planning, autonomous resource management, and flexible logical decision-making to handle different situations and scenarios.

中文翻译：

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分布式多机器人系统基于代理的数字孪生的自适应混合推理

数字孪生（DT）主要通过多物理和逻辑模型充当现实世界实体、系统或过程的虚拟例证，允许捕获和同步其功能和属性。可以利用实际系统和数字领域之间的桥梁来优化系统的性能，并预测和预测其行为。将智能和自适应推理机制纳入DT对于使其能够在复杂和动态的环境中推理、适应并采取有效的行动至关重要。为此，我们引入了一种为网络物理系统部署基于代理的 DT 的方法。该方法的基础支柱是（1）从基于主体的DT的角度整合Zeigler建模和仿真框架的概念、实体和关系；（2）利用可扩展和可扩展的架构来设计和实现这些双胞胎，从而可以轻松地扩展和扩展系统的物理和数字资产；最后（3）两层推理策略；在基于智能体的DT的建模和仿真框架的背景下，反应性和理性模型在概念上被重新定义，并在技术上部署以增强DT的自适应推理和决策功能。因此，所实现的多机器人系统仿真与控制平台证明了该方法的适用性和可行性，体现了其可用性和效率。该平台将物理实体表示为自主代理，创建其DT，并分配足够的推理能力，以促进自适应规划、自主资源管理和灵活的逻辑决策，以处理不同的情况和场景。