New approach for modeling and developing multi-agent systems based on case based reasoning
Mohamed Kouissi, Nihad El Ghouch, El Mokhtar En-Naimi · Proceedings of the 4th International Conference on Smart City Applications · 2019
In this paper, we present a multi agent architecture based on Incremental Dynamic Case-Based Reasoning (IDCBR). Our approach inherits from Model Driven Architecture (MDA [11]), which aims to design, develop and implement models or meta-models of multi-agent systems that we build from AUML. We have designed a generic and scalable class diagram to develop complex multi-agent systems [3] for Decision Support System based on IDCBR to predict and anticipate a dynamic situation. The source code of the models is generated by an open source tool called AndroMDA [13]. The model and source code will be used to design and develop applications to implement and simulate multi-agent models for Management of Common Renewable Resources [4].