Towards an automated detection of self-organizing behavior
dc.contributor.author | Trumler, Wolfgang | |
dc.contributor.author | Gerdes, Mike | |
dc.contributor.editor | Hegering, Heinz-Gerd | |
dc.contributor.editor | Lehmann, Axel | |
dc.contributor.editor | Ohlbach, Hans Jürgen | |
dc.contributor.editor | Scheideler, Christian | |
dc.date.accessioned | 2019-04-03T12:45:21Z | |
dc.date.available | 2019-04-03T12:45:21Z | |
dc.date.issued | 2008 | |
dc.description.abstract | In 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.identifier.isbn | 978-3-88579-228-4 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/21278 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e. V. | |
dc.relation.ispartof | INFORMATIK 2008. Beherrschbare Systeme - dank Informatik. Band 2 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-134 | |
dc.title | Towards an automated detection of self-organizing behavior | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 746 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 739 | |
gi.conference.date | 8.-13. September 2008 | |
gi.conference.location | München | |
gi.conference.sessiontitle | Regular Research Papers |
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