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

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.