Properties Analysis of a Learning Method for Adaptive Systems

In order to build adaptive artificial systems, we suggest a thesis about the adequacy of a system relative to its relationships with the environment. We can tell it in this way: "Any system having a cooperative internal medium is functionally adequate". In our learning method, a global function emerges from the system unless this function is not explicity dictated in each of its component. In fact, each component is always looking for maintaining a cooperative situation with others components in the system. The originality of our method is its facility of implementation because it's totally independent of the application field. Another property is that our method allows to suppress the classical component of control : the cooperation permits it implicitly.