@misc{Morale_Daniela_Cellular,
 author={Morale, Daniela},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 abstract={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 Itô type. A "law of large numbers" to a continuum dynamics described by an integro-differential equation is given.},
 title={Cellular automata and many-particle systems modeling aggregation behavior among populations},
 type={artykuł},
 keywords={cellular automata, individual-based models, stochastic differential equations, law of large numbers, density-dependence, nonlinear integrodifferential equations},
}