Complex systems simulations generally involve the interaction of different scientific fields. Human economies, ecosystems or dynamic computer networks such as P2P are good examples. Since models and simulators already exist in those fields, designing the simulation as a society of interacting and co-evolving models appears attractive. Beyond the technical issues to make different simulators cooperate, the challenges are to make the co-evolution design and implementation easier for the users that rarely know intricate modelling and simulation tools, and to facilitate the collaboration of different experts. Agents and artefacts (A&A) paradigm simplifies the design and the implementation of a society of interacting and co-evolving models. That is, the addition, the removal or the interchange of models require less effort. Contrary to classical approaches, we have built a decentralized co-evolution architecture based upon A&A and a data-driven coordination model. In this article, beyond the architecture presentation, we focus on the benefit provided by A&A used for multiple models co-evolution.