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Resolving Inconsistencies in Shared Context Models using Multiagent Systems

contributor Institut für Parallele und Verteilte Systeme, Bildverstehen
creator Käppeler, Uwe-Philipp
Benkmann, Ruben
Zweigle, Oliver
Lafrenz, Reinhard
Levi, Paul
date 2008-07-23
description The study reported in this paper evaluates procedures that combine a multitude of measurements to a single result that can be integrated in the shared context model. The statistically optimized procedure based on ratings of the participating agents is enhanced using scaled weighted arithmetic means which prevents the system from running into singularities caused by the feedback from the ratings. The method is combined with an additional preprocessing based on fuzzy clustering that detects aberrant measurements which can be excluded from further processing.
identifier  http://www.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2008-53&engl=1
ISBN: 978-972-96895-3-6
language ger
publisher University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems)
Baden Baden: Springer-Verlag
source In: Dillmann, Rüdiger (ed.); Burgard, Wolfram (ed.): Proceedings of the 10th International Conference on Intelligent Autonomous Systems: IAS-10; Baden Baden, Germany, July 23-25, 2008, pp. 93-98
subject Robotics (CR I.2.9)
Information Storage and Retrieval (CR H.3)
sensor
fusion
normalized weighted arithmetic mean
inconsistency
title Resolving Inconsistencies in Shared Context Models using Multiagent Systems
type Text
Article in Proceedings