Cellular Automata and Many-Particle Systems Modeling Aggregation Behavior Among Populations
International Journal of Applied Mathematics and Computer Science, Tome 10 (2000) no. 1, pp. 157-173.

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A cellular automaton model is presented in order to describe mutual interactions among the individuals of a population due to social decisions.The scheme is used for getting qualitative results, comparable to field experiments carried out on a population of ants which present an aggregative behavior. We also present a second description of a biological spatially structured population of N individuals by a system of stochastic differential equations of Ito type. A 'law of large numbers' to a continuum dynamics described by an integro-differential equation is given.
Keywords: cellular automata, individual-based models, stochastic differential equations, law of large numbers, density dependence, nonlinear integrodifferential equations
Mots-clés : równanie różniczkowe stochastyczne, równanie różniczkowo-całkowe
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Morale, D. Cellular Automata and Many-Particle Systems Modeling Aggregation Behavior Among Populations. International Journal of Applied Mathematics and Computer Science, Tome 10 (2000) no. 1, pp. 157-173. http://geodesic.mathdoc.fr/item/IJAMCS_2000_10_1_a9/