Research Article
Coupling equation based models and agent-based models: example of a multi-strains and switch SIR toy model
@ARTICLE{10.4108/eai.6-3-2017.152334, author={Nghi Quang Huynh and Tri Nguy en-Huu and Arna ud Grignard and Hiep Xuan Huynh and Alexis Drog oul}, title={Coupling equation based models and agent-based models: example of a multi-strains and switch SIR toy model}, journal={EAI Endorsed Transactions on Context-aware Systems and Applications}, volume={4}, number={11}, publisher={EAI}, journal_a={CASA}, year={2017}, month={3}, keywords={Equa tion-based model, agent-based model, coupling framew ork, sim ula tion pla tform, epidemiol ogy}, doi={10.4108/eai.6-3-2017.152334} }- Nghi Quang Huynh
Tri Nguy en-Huu
Arna ud Grignard
Hiep Xuan Huynh
Alexis Drog oul
Year: 2017
Coupling equation based models and agent-based models: example of a multi-strains and switch SIR toy model
CASA
EAI
DOI: 10.4108/eai.6-3-2017.152334
Abstract
Modeling in ecol ogy or epidemiol ogy gener all y opposes tw o classes of models, Equa tion Based Models and Agent Based Models. Mathema tical models all ow predicting the long- term dynamics of the studied systems. How ever, the variability betw een individ uals is diÿcul t to represen t, wha t makes these more suitable models for larg e and homog eneous popula tions. Mul ti-agent models all ow represen ting the attributes and beha vior of each individ ual and theref ore provide a grea ter lev el of detail. In return, these systems are more diÿcul t to anal yze. These approaches have often been compared, but rarel y used sim ul taneousl y. We propose a hybrid approach to couple equa tions models and agent-based models, as well as its implemen tation on the modeling pla tform Gama [8]. We focus on the represen tation of a classical theoretical epidemiol ogical model (SIR model) and we ill ustr ate the construction of a class of models based on it.
Copyright © 2017 Nghi Quang Huynh et al., licensed to EAI. This is an open access article distributed under the terms of the Crea tiv e Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reprod uction in any medium so long as the original work is proper ly cited.