Towards an automated detection of self-organizing behavior
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.
- Citation
- BibTeX
Trumler, W. & Gerdes, M.,
(2008).
Towards an automated detection of self-organizing behavior.
In:
Hegering, H.-G., Lehmann, A., Ohlbach, H. J. & Scheideler, C.
(Hrsg.),
INFORMATIK 2008. Beherrschbare Systeme - dank Informatik. Band 2.
Bonn:
Gesellschaft für Informatik e. V..
(S. 739-746).
@inproceedings{mci/Trumler2008,
author = {Trumler, Wolfgang AND Gerdes, Mike},
title = {Towards an automated detection of self-organizing behavior},
booktitle = {INFORMATIK 2008. Beherrschbare Systeme - dank Informatik. Band 2},
year = {2008},
editor = {Hegering, Heinz-Gerd AND Lehmann, Axel AND Ohlbach, Hans Jürgen AND Scheideler, Christian} ,
pages = { 739-746 },
publisher = {Gesellschaft für Informatik e. V.},
address = {Bonn}
}
author = {Trumler, Wolfgang AND Gerdes, Mike},
title = {Towards an automated detection of self-organizing behavior},
booktitle = {INFORMATIK 2008. Beherrschbare Systeme - dank Informatik. Band 2},
year = {2008},
editor = {Hegering, Heinz-Gerd AND Lehmann, Axel AND Ohlbach, Hans Jürgen AND Scheideler, Christian} ,
pages = { 739-746 },
publisher = {Gesellschaft für Informatik e. V.},
address = {Bonn}
}
Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Send Feedback
More Info
ISBN: 978-3-88579-228-4
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2008
Language:
(en)

Content Type: Text/Conference Paper