Abstract: Neoclassical and functionalist explanations of self
organization in multiagent systems have been criticized on several accounts including unrealistic explication of overadapted agents and
failure to resolve problems of externality. The paper outlines a more
elaborate and dynamic model that is capable of resolving these dilemmas. An illustrative example where behavioral diversity is
cobred in a repeated nonzero sum task via evolutionary computing is
presented.