PREDICTION OF IMMINENT SPECIES’ EXTINCTION IN EcoSim

Meisam Hosseini Sedehi, Robin Gras, Md Sina

2012

Abstract

The process of evolution involves the emergence and disappearance of species. Many factors affect on the survival of species. Real study of factors’ influence is particularly difficult due to the complex interaction between them. An individual-based model (IBM) can assist in the analysis of effective factors. In this study, using an IBM called EcoSim, we have examined the impact of some factors on the prediction of the imminent extinction. By applying some machine learning’s techniques for feature selection and classification, we have shown that demographic and genetic factors have a critical role for the prediction. Especially, paying attention to both factors can highly improve the accuracy of the species’ prediction.

Paper Citation

in Harvard Style

Hosseini Sedehi M., Gras R. and Sina M. (2012). PREDICTION OF IMMINENT SPECIES’ EXTINCTION IN EcoSim . In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-95-9, pages 318-323. DOI: 10.5220/0003737703180323

in Bibtex Style

@conference{icaart12,
author={Meisam Hosseini Sedehi and Robin Gras and Md Sina},
title={PREDICTION OF IMMINENT SPECIES’ EXTINCTION IN EcoSim},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2012},
pages={318-323},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003737703180323},
isbn={978-989-8425-95-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - PREDICTION OF IMMINENT SPECIES’ EXTINCTION IN EcoSim
SN - 978-989-8425-95-9
AU - Hosseini Sedehi M.
AU - Gras R.
AU - Sina M.
PY - 2012
SP - 318
EP - 323
DO - 10.5220/0003737703180323