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引用次数: 2
摘要
智能、分层和多分辨率建模是复杂系统仿真的关键。在提出的MR- agent - discrete EVent System (MR- agent - devs)规范的基础上,讨论了高层体系结构下MR模型的协同仿真。首先,提出了MR-Agent-DEVS联邦模型的结构和形式化描述。分析了MR-Agent-DEVS联邦模型的通信机制和仿真过程。最后,给出了应急物资供应分布式交互仿真实例。仿真测试结果表明,HLA增强了MR-Agent-DEVS模型的可重用性,知识更新和模型耦合丰富了MR-Agent-DEVS模型的互操作性,Agent中知识库的实时记忆保证了MR-Agent-DEVS模型在聚合和分解方面的一致性。
Research on co-simulation of multi-resolution models based on HLA
Intelligence, hierarchy, and multi-resolution (MR) modeling are vital to the complex system simulation. Based on the proposed MR-Agent-Discrete EVent System (MR-Agent-DEVS) specification, this paper discusses the co-simulation of MR models under high-level architecture (HLA). First, the structure and formal description of MR-Agent-DEVS federate models were proposed. The communication mechanism and simulation process of MR-Agent-DEVS federate models were analyzed. Finally, an example of distributed interactive simulation for emergency material supply was given. The results of the simulation test show that HLA enhances the reusability of MR-Agent-DEVS models, knowledge updating and model coupling enrich the interoperability of MR-Agent-DEVS models, and the real-time memory of knowledge base in Agent ensures the consistency of MR-Agent-DEVS models in aggregation and disaggregation.
期刊介绍:
SIMULATION is a peer-reviewed journal, which covers subjects including the modelling and simulation of: computer networking and communications, high performance computers, real-time systems, mobile and intelligent agents, simulation software, and language design, system engineering and design, aerospace, traffic systems, microelectronics, robotics, mechatronics, and air traffic and chemistry, physics, biology, medicine, biomedicine, sociology, and cognition.