Abstract

Autonomous systems, 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 a generic measurement and benchmarking of autonomy is required. Within this paper we present an improved understanding of autonomous systems. Based on this foundation we introduce our concept of a multi-dimensional autonomy metric framework that especially takes into account multi-system environments. Finally, our approach is illustrated by means of an example

@inproceedings{hrabia2015QuantifyingAutonomy,
author = { Christopher-Eyk Hrabia and Nils Masuch and Sahin Albayrak},
title = {A Metrics Framework for Quantifying Autonomy in Complex Systems},
booktitle = {Multiagent System Technologies: 13th German Conference, MATES 2015, Revised Selected Papers (Lecture Notes in Computer Science)},
year = {2015},
pages = {199-218},
location = {Cottbus, Germany, September 28-30, 2015},
isbn = {978-3-319-27342-6},
doi = {10.1007/978-3-319-27343-3},
publisher = {Springer},
}