Abstract
This article extends (Janošek and Kocian 2013) and deals with simulation parameters setting methodology proposal for complex system behaviour adaptation. Therefore the article focuses on system adaptation where there is an effort to find such means of mediating the system’s behaviour that would make it possible to adapt to the current state of the system and the environment and react to the changes so that the desired behaviour of the system is kept in specified limits or patterns of behaviour. The instruments of regulating the system’s behaviour are its parameters. In recognizing the parameters’ importance, this work is inspired by the leverage point theory (Meadows 1999) and builds on its approach to the system cognizance. The adaptation of the system’s behaviour itself consists of recognizing these characteristic patterns using neural networks and the subsequent mediation of the system’s behaviour through selected parameters and their action ranges based on pre-prepared expectations of what will happen if the system’s behaviour exhibits a known characteristic pattern.
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References
Gershenson, C.: Complex philosophy. In: La Habana, C. (ed.) Proceedings of the 1st Biennial Seminar on Philosophical, Methodological & Epistemological Implications of Complexity Theory (2002), http://uk.arxiv.org/abs/nlin/0109001v3 (cit. February 212, 2012)
Gershenson, C.: Design and Control of Self-organizing Systems. CopIt ArXives, Mexico (2007) ISBN: 978-0-9831172-3-0
Janošek, M., Kocian, V.: Simulation Parameters Settings Methodology Proposal Based on Leverage Points. In: Stavrinides, G., Banerjee, S., Caglar, H., Ozert, M. (eds.) Proceedings of the 4th International Interdisciplinary Chaos Symposium Chaos and Complex Systems. Complexity series, pp. 411–414. Springer (2013) ISBN 978-3-642-33913-4
Meadows, D.H.: Leverage points: Places to intervene in a system. The Sustainability Institute (1999)
Pelánek, R.: Modelování a simulace komplexních system, 236 p. Masaryk University (2011) ISBN: 978-80-210-5318-2
Volná, E., Janošek, M., Kocian, V., Kotyrba, M., Oplatková, Z.: Methodology for System Adaptation Based on Characteristic Patterns. In: Dutta, A. (ed.) Robotic Systems - Applications, Control and Programming. InTech (2012) ISBN: 978-953-307-941-7
Wilensky, U.: NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University. Evanston, IL (1999), http://ccl.northwestern.edu/netlogo/
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Janošek, M., Kocian, V., Volná, E. (2013). Complex System Simulation Parameters Settings Methodology. In: Zelinka, I., Chen, G., Rössler, O., Snasel, V., Abraham, A. (eds) Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems. Advances in Intelligent Systems and Computing, vol 210. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00542-3_41
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DOI: https://doi.org/10.1007/978-3-319-00542-3_41
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