Coupling equation based models and agent-based models: example of a multi-strains and switch SIR toy model

Authors

  • Nghi Quang Huynh CICT-CTU, Cantho
  • Tri Nguy en-Huu Cadi Ayyad University image/svg+xml
  • Arnaud Grignard IXXI, ENS Lyon
  • Hiep Xuan Huynh Can Tho University image/svg+xml
  • Alexis Drogoul Hanoi University of Science and Technology image/svg+xml

DOI:

https://doi.org/10.4108/eai.6-3-2017.152334

Keywords:

Equa tion-based model, agent-based model, coupling framew ork, sim ula tion pla tform, epidemiol ogy

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.

Downloads

Published

06-03-2017

How to Cite

1.
Quang Huynh N, en-Huu TN, Grignard A, Xuan Huynh H, Drogoul A. Coupling equation based models and agent-based models: example of a multi-strains and switch SIR toy model. EAI Endorsed Trans Context Aware Syst App [Internet]. 2017 Mar. 6 [cited 2024 Apr. 20];4(11):e1. Available from: https://publications.eai.eu/index.php/casa/article/view/1968

Most read articles by the same author(s)