Abstract
This paper summarizes our work on fuzzy modeling for an Individual-oriented Model (IoM). Our model is particularly geared toward simulating the movement of fish schools, derived from the model by Huth and Wissel. The background and motivation for the problem as well as a description of biological model are given here. A fuzzy logic implementation is discussed based on the mathematical model proposed. Finally, the experiments performed to demonstrate that our model represents the real behavior of fish schools. Keywords: Fuzzy Logic, Individual-oriented Models (IoM), Fish School.
Chapter PDF
Similar content being viewed by others
References
Grimm, V.: Individual-based modeling and ecology 4, 541–550 (2005), jasss.soc.surrey.ac.uk
Breckling, B., Middelhoff, U., Reuter, H.: Individual-based models as tools for ecological theory and application: Understanding the emergence. Ecological Modeling 194, 102–103 (2006)
DeAngelis, D.L., Rose, K.A.: Which individual-based approach is most appropriate for a given problem? In: DeAngelis, D.L., Gross, L.J. (eds.) Individual- Based Models and Approaches in Ecology, pp. 67–87. Chapman & Hall, London (1992)
Huth, A., Wissel, C.: The simulation of the movements of fish schools. J. Theor. Biol. 156, 365–385 (1992)
Montaigne, F., Warne, K., Carroll, C.: Crisis mundial de la pesca. National Geographic 20 (2007)
Anderson, J.: A stochastic model for the size of fish schools. Bull. Fish 8, 109–132 (1980)
Aoki, I.: Internal dynamics of fish schools in relation to inter-fish distance. Bull. Jap. Soc. Scient. Fish. 48, 1081–1088 (1984)
Parrish, J., Viscido, S., Grunbaum, D.: Self-organized fish schools: an examination of emergent properties. Biol. Bull. 196, 397–454 (2002)
Niwa, H.S.: Self-organizing dynamic model of fish schooling. J. Theor. Biol. 171, 123–136 (1994)
Hubbard, S., Babak, P., Sigurdsson, M.K.: A model of the formation of fish schools and migrations of fish. Ecological modeling 174, 359–374 (2004)
Shaw, E.: Schooling fishes critique and review. Devlopment and Evolution of Behaviour, 452–480 (1970)
Zadeh, L.: Itoward a theory of fuzzy systems. Aspects of network and system theory 8, 469–490 (1971)
Sivanandam, S., Smathi, S., Deepa, S.: Introduction to fuzzy logic using matlab, vol. 1, pp. 118–121. Springer, Heidelberg (2007)
Pitcher, T.J., Wyche, C.J.: Predator avoidance behavior of sand-eel schools: why schools seldom split. In: Noakes, D.L.G., Lindquist, B.G., Helfman, G.S., Ward, J.A. (eds.) Predators and Prey in Fishes, vol. 54, pp. 193–204. The Hague, Junk (1983)
Mostaccio, D., Dalforno, C., Suppi, R., Luque, E.: Distributed simulation of large-scale individual oriented models 2, 59–65 (2006), journal.info.unlp.edu.ar
Dalforno, C., Mostaccio, D., Suppi, R., Luque, E.: Increasing the scalability and the speedup of a fish school simulator. In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds.) ICCSA 2008, Part II. LNCS, vol. 5073, pp. 936–949. Springer, Heidelberg (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
González, J.C., Dalforno, C., Suppi, R., Luque, E. (2009). A Fuzzy Logic Fish School Model. In: Allen, G., Nabrzyski, J., Seidel, E., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2009. Lecture Notes in Computer Science, vol 5544. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01970-8_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-01970-8_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01969-2
Online ISBN: 978-3-642-01970-8
eBook Packages: Computer ScienceComputer Science (R0)