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首页> 外文会议>International conference on systems science and systems engineering >PETRI NETS BASED MODELING AND SIMULATION OF COMPLEX ADAPTIVE SYSTEMS
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PETRI NETS BASED MODELING AND SIMULATION OF COMPLEX ADAPTIVE SYSTEMS

机译：基于Petri网的复杂自适应系统建模与仿真

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The world is replete with all kinds of complex systems, and complex adaptive system models provide a new way for understanding the complex. In this paper, we review the past research approaches, point out the inefficiency of the conventional modeling methods in describing complex adaptive systems(CAS), and emphasize the needs for a new approach. Then we highlight five class models for studying CAS from the literatures, including network model, Evolutionary computing, Individual-based model, agent-based model and Echo model, and discuss their different characters. This paper introduces a new advanced Petri Nets model, which takes advantage of the theory of complex adaptive system and Petri Nets method. In this method, the combination of classifier systems and Petri Nets offers a distinctly useful approach to modeling complex adaptive systems. Later we try to model a kind of complex adaptive system, namely supply chain networks, using adaptive agents that represent individual entities each with its own rules and describe how it should interact with its environment. Finally through simulating with Swarm software platform, we simulate the simplified supply chain model, and analyze the results of simulation.
机译：世界上与各种复杂的系统进行了充分的复杂系统，复杂的自适应系统模型为了解复杂的方式提供了一种新的方式。在本文中，我们回顾了过去的研究方法，指出了在描述复杂的自适应系统（CAS）时传统建模方法的效率，并强调了一种新方法的需求。然后我们突出了五类模型来研究CAS，包括网络模型，进化计算，基于个人的模型，基于代理的模型和回声模型，并讨论其不同的字符。本文介绍了一种新的先进Petri网模型，利用复杂自适应系统和Petri网方法的理论。在该方法中，分类器系统和Petri网的组合为建模复杂的自适应系统提供了一种明显有用的方法。后来我们尝试模拟一种复杂的自适应系统，即供应链网络，使用代表各个实体的自适应代理，每个实体都有自己的规则，并描述它应该如何与其环境互动。最后通过使用Swarm软件平台进行模拟，我们模拟简化的供应链模型，并分析模拟结果。

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