Following the view point of Evolutionary Dynamics, we have built a multi-agents system to study the emergence and disappearance of replicators in an heterogeneous network of resources. The class of systems we are looking at are systems facing structural uncertainties (supply structure and growth, concentration level, substitute products, ...). In our approach [1, 2] resources are modeled as strategies, and agents distribute processing requirements onto resources using imperfect information and local decision making. Although our agents are endowed with bounded rationality [4], they still have to face the challenge of dealing with imperfect understanding of the feedback structure from resources which use unintendedly rational heuristics to set resources' unit prices. Our intent is to achieve cooperative equilibrium using competitive dynamics by controlling congestion through capacity pricing. To achieve this, we have relaxed Olafsson?s [1] model and built into it a distributed differentiate pricing scheme to improve loose coupling between agents and resources. In this paper, we explore its dynamics from the perspective of both agents and resources.