Multi-agent simulations aim at representing the dynamics of complex systems as resulting from multiple interactions between autonomous entities including their own perception of local environment. From our point of view, this approach would also require to take into account individualized perception of time. In this paper, we propose a new way to implement time distribution in multi-agent systemsby associating to each agent his own time and rythm to achievehis own actions. Our synthetic examples are extracted from our specific research project, dealing with a simulator of irrigated systems, where the paraUeIism of physical processes appears to be an important component of reality.