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.

• Type: Conference
• Year: 2008
• Where: GI
• Authors: Wolfgang Trumler, Mike Gerdes
• Keywords: Entropy, Entropy Based Method, GI 2008, Self-organizing Behavior, Theoretical Computer Science