Environmental Software Systems pp 316-323 | Cite as
Individual-oriented modelling and simulation for the analysis of complex environmental systems
Abstract
Although one ultimate goal may be the understanding of environmental systems as a property of space and time, it could well prove more immediately interesting to understand how the behaviour of complex environmental systems emerge from co-operation and interaction of simpler objects of such systems. This paper gives a general overview of an individual-oriented modelling and simulation method, of the architecture of simulation system software, and of applications in the domain of environmental protection. The individual structure for special applications will be explained in detail. A number of aspects of the knowledge-based decision makers are elaborated on: with rule basis, fuzzy basis, and a Bayes equation. A special example of traffic engineering and urban planning describes an actual application field.
Keywords
individual-oriented modelling simulation architecture of simulators traffic generation modellingPreview
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References
- Castelfranchi, C.; Werner, E. (1992) Artificial Social Systems. 4th European Workshop on Modelling Autonomous Agents in a Multi-Agend World. In: Castelfranchi, C.; Werner, E.(eds.): Lecture Notes in Artifical Intelligence 830; New York, Berlin: Springer Verlag.Google Scholar
- Drogoul, A.; Ferber, J. (1994) Multi-Agent Simulation as a Tool for Modelling Societies: Application to Social Differentation in Ant Colonies. in: Castelfranchi, C.; Werner, E. (ed.): Artificial Social Systems. Lecture Notes in Artificial Intelligence, LNA 830, Berlin, New York: Springer Verlag. pp.: 3–23.Google Scholar
- Düchting, W. (1990) Computer Simulation in Cancer Research. in: Miller, D. Advanced Simulation in Biomedicine. Advances in Simulation. New York: Springer-Verlag, pp.: 117–140.CrossRefGoogle Scholar
- Grebe,N. (1996) Anwendung des Simulationsmodells RegioPlan auf die Region Oberengadin. in: Keller,H.B.; Grützner,R.; Hohmann,R.: 6. Arbeitstreffen des AK5 » Werkzeuge für die Modellbildung und Simulation in Umweltanwendungen«. Forschungsberichte des Forschungszentrums Karslruhe,wissenschaftliche Berichte: FZKA 5829.Google Scholar
- Laue, T. (1996): Modellierung des Verhaltens von Fahrzeugführern an Kreuzungen durch Fuzzy-Logik. University of Rostock (Germany), Dept. of Computer Sciences, Chair of Modelling/ Simulation, Diplomarbeit.Google Scholar
- Lhotka,L. (1994) Implementation of individual-oriented models in aquatic ecology. Ecological Modelling, No. 74, 47–62.CrossRefGoogle Scholar
- Hayes-Roth, B. (1995) An Architecture for Adaptive Intelligent Systems. Artificial Intelligence, Vol. 72 (1,2). pp.: 329–365.CrossRefGoogle Scholar
- Ortmann, J. (1994) Individuenorientierte Modellier- und Simulationsansätze als Grundlagen zur Untersuchung ausgewählter Verhaltensweisen auf Autobahnen. University of Rostock (Germany), Dept. of Computer Sciences, Chair of Modelling/Simulation, Diplomarbeit.Google Scholar
- Ortmann, J. (1997) ORTIMDL - Eine Sprache zur individuenorientierten Modellierung ökologischer Systeme. University of Rostock, Preprint, printing now.Google Scholar
- Wolff, W.F. (1995) Individuen-orientierte Modelle für Watvögelkolonien in den Everglades: Theorie und Anwendung. in: Gnauck, A.; Frischmuth, A.; Kraft, A. (eds.): Umweltwissenschaften; Taunusstein: Eberhard Blottner, pp.: 205–243.Google Scholar
- Wissel, C.; Stephan, T.; Zaschke, S.H. (1990) Modelling Extinction and Survival of Small Populations. in: Remment, H.: Minimal Animal Populations. Berlin: Springer Verlag. pp.: 67–103.Google Scholar
Biography
- After a study of applied aerodynamics and an activitiy of seven years in the industry follows an activity as research worker at the Humboldt University of Berlin in the fields of modelling and simulation, computer performance analysis, and operating systems. Since 1989 professor for modelling and simulation at the University of Rostock. My fields of interests are: architecture of simulation systems, individual-oriented modelling and simulation, parallel simulation, application of simulation on environmental and on ecological systems.Google Scholar