Towards a model driven process for multi-agent system

We propose a new multi-agent development method, named MDAD (Model Driven Agent Development). It is based on the MDA (Model Driven Architecture) paradigm. The aim of MDAD method is to reduce the cost of building MAS applications by starting from abstract specification of system thanks to MAS meta-models, and producing the final system by means of transformations of this specification into computational entities. We present in this paper the application of MDAD to the INAF framework. First we give an overview of MDA approach and its application to MAS. Thus, several abstraction levels are determined and a set of meta-models is introduced. Then, we give the transformation rules used to produce INAF compliant models. MDAD method is illustrated with the timetable management benchmark.