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Advisor(s)
Abstract(s)
Agent-based models (ABMs) have been widely applied in
several fields such as ecology, biology, climate changes, engineering and
many other fields. In ABMs approach, the behaviour of a system is determined
by the local interactions between its individuals (agents), and the
interactions between these individuals with the environment where they
exist. Due to its interactions at the individual’s level, ABMs can produce
quite realistic results regarding to the models behaviour. Therefore
it is necessary to perform several analysis from the point of view of the
models parametrization. In this paper we perform a parametric study
in ways to analyze the implications of models parameterization in the
models output, by implementing an agent-based model to simulate spatial
distribution of species in an heterogeneous environment. The models
output resulting from several parameters combination are compared and
discussed.
Description
Keywords
Agent-based modeling Parameterization Computer simulation (Biological) Spatial distribution Discrete agents
Citation
Bioco J., Fazendeiro P., Cánovas F., Prata P. (2020) Parameterization of an Agent-Based Model of Spatial Distribution of Species. In: Miraz M.H., Excell P.S., Ware A., Soomro S., Ali M. (eds) Emerging Technologies in Computing. iCETiC 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 332. Springer, Cham. https://doi.org/10.1007/978-3-030-60036-5_18