%0 Book Section
%9 OS CH : Chapitres d'ouvrages scientifiques
%A Bouquet, F.
%A Chipeaux, S.
%A Lang, C.
%A Marilleau, Nicolas
%A Nicod, J.M.
%A Taillandier, P.
%T Introduction to the agent approach
%B Agent-based spatial simulation with NetLogo : volume 1 : introduction and bases
%C Londres (GBR) ; Kidlington
%D 2015
%E Banos, A.
%E Lang, C.
%E Marilleau, Nicolas
%L fdi:010071848
%G ENG
%I ISTE ; Elsevier
%@ 978-1-78548-055-3
%P 1-28
%R 10.1016/B978-1-78548-055-3.50001-0
%U https://www.documentation.ird.fr/hor/fdi:010071848
%> https://www.documentation.ird.fr/intranet/publi/depot/2018-01-05/010071848.pdf
%W Horizon (IRD)
%X When we need to study a real system made up of interconnected elements, where each of these systems has its own dynamics, it is often impossible to foresee the emergence of a global dynamics for the system. In this case, what is in question is a complex system, because any one modification, even if it is marginal in terms of its one or several constituent elements, may lead to a dramatic change in overall operation of the system. It becomes clear that these phenomena may well be understood and observed only through the construction of a model. Even if in certain particular cases the model may be resolved analytically, as is the case for the Lotka-Voltera prey-predator models, computer simulation is indispensable in all other cases, i.e. in most thematically interesting cases. As such, agent modeling is one possible response for studying complex spatial systems.
%$ 122