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dc.contributor.authorTrumler, Wolfgang
dc.contributor.authorGerdes, Mike
dc.contributor.editorHegering, Heinz-Gerd
dc.contributor.editorLehmann, Axel
dc.contributor.editorOhlbach, Hans Jürgen
dc.contributor.editorScheideler, Christian
dc.date.accessioned2019-04-03T12:45:21Z
dc.date.available2019-04-03T12:45:21Z
dc.date.issued2008
dc.identifier.isbn978-3-88579-228-4
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/21278
dc.description.abstractIn this paper we present an entropy based method to analyze complex systems. Systems are treated as black boxes, which only expose information by some specified parameters. To decide whether a system shows self-organizing behavior in terms of the specified parameters, the calculated entropy values are preprocessed using low-pass filters. The time derivative of the smoothed entropy curve is used to analyze the short-term behavior of the system. A larger filter is used for the analysis of the long-term behavior. Different evaluations show that in principle self-organizing behavior can be recognized with our approach.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofINFORMATIK 2008. Beherrschbare Systeme - dank Informatik. Band 2
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-134
dc.titleTowards an automated detection of self-organizing behavioren
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages739-746
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationMünchen
mci.conference.date8.-13. September 2008


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