Authors:
Carlos Isidoro
;
Nuno Fachada
;
Fábio Barata
and
Agostinho Rosa
Affiliation:
LaSEEB, ISR, Instituto Superior Técnico, Portugal
Keyword(s):
Artificial life, Agent based modelling, Aedes aegypti, Dengue, RIDL.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Life
;
Computational Intelligence
;
Evolutionary Computing
;
Soft Computing
Abstract:
The paper presents an agent based model of the Aedes aegypti mosquito, which considers mosquito population dynamics and a specific population control strategy, as well the dengue propagation in mosquito (vector) and human (host) populations. More specifically, this study concerns the impact that the RIDL strategy (Release of Insects carrying a Dominant Lethal gene) has on the infection period among humans. The agents model the main aspects of the mosquito’s ecology and behavior, while the environmental components are implemented as a layer of dynamic elements obeying to physical laws. The main objective of this approach is to provide realistic simulations of insect biologic control strategies, namely RIDL. Model verification was performed through examination of simulation parameters variation and qualitative assessment with existing models and simulations. The LAIS simulator was a valuable tool in this investigation, allowing efficient agent based modeling (ABM) and simulation deploy
ment and analysis.
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