A Multi-Dimensional Metrics Framework for Measuring Autonomy in Complex Systems


Autonomous systems and autonomous robots in particular, often realized as multi-agent systems, are envisioned to deal with uncertain and dynamic environments. They are applied in dangerous situations, e.g. as rescue robots or to relieve humans from complex and tedious tasks like driving a car or infrastructure maintenance. But in order to further improve the technology general measurement and benchmarking of autonomy is required. First a novel understanding of autonomous systems is presented. Based on this foundation a multi-dimensional autonomy metric framework is introduced that especially takes into account multi-system environments. Further, the relationship to other related system concepts is emphasized.

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ARMS workshop affiliated with The 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015)