This paper presents the usage of cooperative self-organization to design adaptive artificial systems. Cooperation can be viewed as a local criterion for agents to self-organize and then to perform a more adequate collective function. This paper shows an application of cooperative behaviors to a dynamic distributed timetabling problem, ETTO, in which the constraint satisfaction is distributed among cooperative agents. This application has been prototyped and shows positive results on adaptation, robustness and efficiency of this kind of approach.