Authors:
Meisam Hosseini Sedehi
;
Robin Gras
and
Md Sina
Affiliation:
University of Windsor, Canada
Keyword(s):
The Species’ extinction, Demographic factor, Genetic factor, Individual-Based Model, Fuzzy Cognitive Map, EcoSim, Feature selection.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
AI and Creativity
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Computational Intelligence
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Evolutionary Computing
;
Knowledge Discovery and Information Retrieval
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Machine Learning
;
Multi-Agent Systems
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
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.