A Multi-Agent Model for Reconfigurable Manufacturing System Based on Complex Adaptive System

P. He, Qinglin Wang, JiaCheng Yu
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引用次数: 3

Abstract

The paper aims to present the authors' research on the self-learning mechanism in the model of reconfigurable manufacturing system (RMS). First of all, a multi-agent model for RMS based on the complex adaptive system (CAS) is originally proposed. To make the model clear, the agent and its structure are provided. Then the paper goes to analyze the complex adaptive nature or mechanism which is self-learning in the model. Following the analysis, a detailed description of the reconfiguration algorithm in the reconfigurable workshop machining system model is given. Finally, the basic properties of the CAS in the model are discussed in the paper. The multi-agent model for RMS based on CAS reduces the data transmission amount and makes the model more simple and easier to realize
基于复杂自适应系统的可重构制造系统多智能体模型
本文旨在介绍作者对可重构制造系统(RMS)模型中的自学习机制的研究。首先,提出了一种基于复杂自适应系统(CAS)的RMS多智能体模型。为了使模型更清晰,给出了agent及其结构。然后分析了模型中自学习的复杂自适应性质或机制。在此基础上,详细描述了可重构车间加工系统模型中的重构算法。最后,讨论了模型中CAS的基本性质。基于CAS的RMS多智能体模型减少了数据传输量,使模型更简单,更容易实现
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