@article{fdi:010085358,
  title = {{U}se and adequacy of computer paradigms to simulate bioinspired synthetic landscape ecologies},
  author = {{L}e {F}ur, {J}ean and {M}boup, {P}. {A}. and {S}all, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n the field of ecoinformatics, synthetic ecologies approach intends to reproduce in silico the architecture and functioning of a real domain 'as it works'. {W}hen the systems to be represented are complex, bioinspiration is proposed as a relevant approach to develop robust modelling. {T}his study aims to develop, using basic object-oriented paradigms, and in collaboration with biologists, a comprehensive synthetic ecology about a given application domain: wild rodents' population dynamics. {T}o address the complexity of the field, the architecture is gradually grown and shaped from integration of successive and diverse case studies modelling in the application domain. {D}eveloped for more than ten years, the same model has made it possible to represent historical, cellular and/or ecological processes at the scales of a country, a region, a city or a laboratory as well as a diversity of interacting living beings. {R}esults present how principles such as composition, aggregation, inheritance, generalization have been used to elaborate a synthetic ecology. {T}hese paradigms altogether constitute a rich, and improvable, toolbox offering a varied set of possible uses to formalize bioinspired landscape or ecologies.},
  keywords = {{B}io-inspiration ; {E}coinformatics ; {N}atural {C}omputation ; {S}ynthetic {E}cology ; {R}obustness ; {O}bject-oriented {P}rogramming ; {A}gent-based {M}odel ; {R}odent},
  booktitle = {},
  journal = {{P}roceedings of the 11th {I}nternational {C}onference on {S}imulation and {M}odeling {M}ethodologies, {T}echnologies and {A}pplications - {SIMULTECH}},
  numero = {},
  pages = {154--162},
  year = {2021},
  DOI = {10.5220/0010601101540162},
  URL = {https://www.documentation.ird.fr/hor/fdi:010085358},
}