@incollection{fdi:010071851,
  title = {{A}gent-based model exploration},
  author = {{B}anos, {A}. and {C}aillou, {P}. and {G}audou, {B}. and {M}arilleau, {N}icolas},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he previous chapters have allowed us to introduce the basics of agent-based model creation with {N}et{L}ogo. {T}his has resulted in a model such as the one used in our running example. {O}nce the model has been built, the aim is to manipulate it in such a way that new knowledge about the modeled phenomenon can be created. {F}or example, we could look to study the rate of infection resulting from certain parameter values. {T}he use and study of a model is nonetheless as complex as its creation. {A}s such, using our model, we could launch the simulation with standard initial parameters (say 300 humans, 500 mosquitoes, a contamination distance of 5 and a work-home distance of 500), and we would obtain the graph indicating no infection beyond the source mosquito, which would lead us to conclude that these parameters lead to no infections. {H}owever, upon relaunching the simulation with the exact same values, we might obtain the graph with the infection present in almost 100% of individuals after 1000 iterations.},
  keywords = {},
  booktitle = {{A}gent-based spatial simulation with {N}et{L}ogo : volume 1 : introduction and bases},
  numero = {},
  pages = {125--181},
  address = {{L}ondres ({GBR}) ; {K}idlington},
  publisher = {{ISTE} ; {E}lsevier},
  series = {},
  year = {2015},
  DOI = {10.1016/{B}978-1-78548-055-3.50004-6},
  ISBN = {978-1-78548-055-3},
  URL = {https://www.documentation.ird.fr/hor/fdi:010071851},
}