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

机译:一种从企业资源计划中发现知识的协作多主体方法

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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,我们提出了一种从企业资源计划中发现知识的协作多代理方法,以提取隐藏在企业资源计划数据库中的有用知识。为了实现这一目标,我们将多智能体系统称为范式以增强知识发现过程。它在称为代理的几个自治实体上分配了此过程的复杂性,由于从大型ERP数据库中提取了知识,该实体将合作并协作以减少执行时间。通过使用多代理系统,这将有助于业务决策者做出正确的决策并提供非常好的执行时间。为了实现建议的体系结构,使用JADE平台更方便,同时提供一套完整的服务,并且代理符合FIPA规范。

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