Autor:

Morale, Daniela

Współtwórca:

Arino, Ovide - ed.

Tytuł:

Cellular automata and many-particle systems modeling aggregation behavior among populations

Podtytuł:

Mathematical Aspects of Population Dynamics

Tytuł publikacji grupowej:

AMCS, volume 10 (2000)

Temat i słowa kluczowe:

cellular automata ; individual-based models ; stochastic differential equations ; law of large numbers ; density-dependence ; nonlinear integrodifferential equations

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.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Data wydania:

2000

Typ zasobu:

artykuł

Strony:

157-173

Źródło:

AMCS, volume 10, number 1 (2000) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego