Supporting Dynamic Adaptive Autonomy for Agent-based Systems (1996) [11 citations — 11 self]
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@INPROCEEDINGS{Martin96supportingdynamic,author = {Cheryl E. Martin and Robert H. Macfadzean and K. Suzanne Barber},
title = {Supporting Dynamic Adaptive Autonomy for Agent-based Systems},
booktitle = {In Proceedings of 1996 Artificial Intelligence and Manufacturing Research Planning Workshop},
year = {1996},
pages = {112--120},
publisher = {AAAI Press}
}
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Abstract:
The level of autonomy at which individual agents function is of critical importance to the overall operation of multiagent systems. The term level of autonomy refers to the type of interactions between an agent and other agents in its system. In well-defined contexts, agents can be designed for a single level of autonomy by predicting the type of problems that will be faced. However, in dynamic systems, the appropriate level of autonomy may depend on the situation. Therefore, substantial performance benefits for agent-based systems can be realized by agents that are capable of dynamically adapting their level of autonomy during system operation. This paper develops a representation for agent autonomy level and discusses how dynamic adaptive autonomy can be used to create flexible multi-agent systems applicable to manufacturing environments.
