Research Article
Toward an Agent-Based and Equation-Based Coupling Framework
@INPROCEEDINGS{10.1007/978-3-319-46909-6_28, author={Huynh Quang Nghi and Tri Nguyen-Huu and Arnaud Grignard and Hiep Xuan Huynh and Alexis Drogoul}, title={Toward an Agent-Based and Equation-Based Coupling Framework}, proceedings={Nature of Computation and Communication. Second International Conference, ICTCC 2016, Rach Gia, Vietnam, March 17-18, 2016, Revised Selected Papers}, proceedings_a={ICTCC}, year={2017}, month={1}, keywords={Equation-based model Agent-based model Coupling framework Simulation platform Epidemiology}, doi={10.1007/978-3-319-46909-6_28} }- Huynh Quang Nghi
Tri Nguyen-Huu
Arnaud Grignard
Hiep Xuan Huynh
Alexis Drogoul
Year: 2017
Toward an Agent-Based and Equation-Based Coupling Framework
ICTCC
Springer
DOI: 10.1007/978-3-319-46909-6_28
Abstract
The ecology modeling generally opposes two class of models, equations based models and multi-agents based models. Mathematical models allow predicting the long-term dynamics of the studied systems. However, the variability between individuals is difficult to represent, what makes these more suitable models for large and homogeneous populations. Multi-agent models allow representing the attributes and behavior of each individual and therefore provide a greater level of detail. In return, these systems are more difficult to analyze. These approaches have often been compared, but rarely used simultaneously. We propose a hybrid approach to couple equations models and agent-based models, as well as its implementation on the modeling platform Gama [7]. We focus on the representation of a classical theoretical epidemiological model (SIR model) and we illustrate the construction of a class of models based on it.
