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Representation of Autonomy in Distributed Agent-based Systems

The level of autonomy at which individual agents function is of critical importance to the overall operation of distributed agent-based systems. An agent's level of autonomy for a goal specifies the interaction framework in which that goal is planned. Substantial performance benefits for agent-based systems may be realized by agents that are capable of dynamically adapting their level of autonomy during system operation. This paper introduces a representation for agent autonomy levels and discusses its application to agent goals.