In several circumstances, cooperation among autonomous agents
is a prerequisite for effective or efficient task processing.
This stems from the inherent or transient asymmetry of the
agents resources and capabilities. Since agents process tasks
autonomously, they have to decide by themselves under which
conditions and to which means they cooperate. Such local
decision making renders dedicated entities for resource
management dispensable and, thus, may increase the systems
fault-tolerance. In this report, we propose a framework for
self-configuring resource management in cooperative and
uncooperative environments. Therefore, we recognize the
relatedness of autonomous agents and economic entities. Both
are REMMs assess their resources and demands locally which
leads to more efficiency of the overall system. We identify
and discuss two dimensions of autonomy, i.e.
principal-agent and inter-agent autonomy.