Home // COGNITIVE 2012, The Fourth International Conference on Advanced Cognitive Technologies and Applications // View article
Measuring Robustness in Hybrid Central/Self-Organising Multi-Agent Systems
Authors:
Yaser Chaaban
Christian Müller-Schloer
Jörg Hähner
Keywords: Robustness; Organic Computing; Hybrid Coordination; Multi-Agent Systems
Abstract:
It is noteworthy that the definition of system robustness varies according to the context in which the system is used. Therefore, manifold meanings of system robustness were introduced in literature. Additionally, various formal measures and metrics were presented to achieve the system robustness. In previous papers, we proposed a new concept to keep a multi-agent system robust when deviations from planned (desired) behaviour occur in the system. This concept introduces a robust hybrid central/self-organising multi-agent system. The scenario used in this work is a traffic intersection without traffic lights. In this paper, we extend our prototype implementation with the aim of making it capable of handling disturbances (accidents) occur in the system environment (intersection) aiming to completely realise our vision. Simultaneously, we develop an appropriate metric for the quantitative determination of the robustness.
Pages: 133 to 138
Copyright: Copyright (c) IARIA, 2012
Publication date: July 22, 2012
Published in: conference
ISSN: 2308-4197
ISBN: 978-1-61208-218-9
Location: Nice, France
Dates: from July 22, 2012 to July 27, 2012