We study a scenario of autonomous resource management agents, aiming for fulfilling a management goal of balancing value of service with cost. We aim for a model of management based on fully distributed knowledge, avoiding traditional challenges associated with centralized approaches. Our results indicate that lack of information about the actions of other agents can be mitigated via direct observation of each agent’s environment.