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A Cooperative Multi-agent Approach for Knowledge Discovery from the Enterprise Resource Planning

机译:企业资源规划知识发现的合作多智能辅导方法

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In this paper, we propose a cooperative multi-agent approach for knowledge discovery from the enterprise resource planning to extract the useful knowledge, hidden in enterprise resource planning database. To achieve this, we call the paradigm of multi-agent system to enhance the knowledge discovery process. It distributes the complexity of this process on several autonomous entities called agents, who will cooperate and collaborate to achieve the reduction in execution time due to the extraction of knowledge from a large ERP database. This will help business decision-makers to take good decisions and provide a very good execution time by the use of multi-agent system. To implement the proposed architecture, it is more convenient to use the JADE platform while providing a complete set of services and agents comply with the specifications FIPA.
机译:在本文中,我们提出了一种与企业资源规划中的知识发现的合作多智能探测方法,以提取隐藏在企业资源规划数据库中的有用知识。为实现这一目标,我们呼吁多代理系统的范例来增强知识发现过程。它在几个名为代理商的自治实体中分配了这个过程的复杂性,他们将合作和协作,以实现来自大ERP数据库的知识的提取所造成的执行时间。这将有助于企业决策者采取良好的决策,并通过使用多项代理系统提供非常好的执行时间。为了实现拟议的架构,使用玉器平台更方便,同时提供一整套服务和代理符合规范FIPA。

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