Inferring Equation-Based Models from Agent-Based Models: A Case Study in Competition Dynamics

Nguyen, Ngoc Doanh; Taillandier, Patrick; Drogoul, Alexis; Auger, Pierre

doi:10.1007/978-3-642-25920-3_30

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…In [13 ], it is proposed to use onl y one appropria te modeling formalism instead of tw o approaches, and inf er an EBM from an ABM SIR model by expl oring the ded ucible par ameters like number of individ ual in popula tion, rates of inter actions base on dimension of environmen t. They have done a study with the measure based on disk graph theories [12 ] to link ABM with EBM dynamical systems applied to theoretical popula tion ecol ogy.…”

Section: Coupling Ebm and Abmmentioning

confidence: 99%

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

Huynh¹,

en-Huu²,

Grignard³

et al. 2017

EAI Endorsed Transactions on Context-aware Systems and Applicat

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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 ev er, the variability betw een individ uals is di fficul t to represen t, wha t makes these more suitable models for larg e and homog eneous popula tions. Mul ti-ag ent 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 di fficul 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 ag ent-based models, as well as its implemen tation on the modeling pla tf orm 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.

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Section: Coupling Ebm and Abmmentioning

confidence: 99%

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

Huynh¹,

en-Huu²,

Grignard³

et al. 2017

EAI Endorsed Transactions on Context-aware Systems and Applicat

View full text Add to dashboard Cite

show abstract

“…• an ABM (microscopic level) can be used to parametrize an equation based model (macroscopic level) (Duboz, 2004;Duboz et al, 2003;Nguyen et al, 2012a),…”

Section: Multi-level Technical Toolsmentioning

confidence: 99%

Multi-level agent-based modeling - A literature survey

Morvan

2012

Preprint

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During last decade, multi-level agent-based modeling has received significant and dramatically increasing interest. In this article we conduct a comprehensive and structured review of literature on this emerging research domain that aims at extending the classical agent-based modeling paradigm to overcome some of its limitations. We present the main theoretical contributions and applications with an emphasis on social, flow, biological and biomedical models.

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Toward an Agent-Based and Equation-Based Coupling Framework

Nghi¹,

Nguyen-Huu²,

Grignard³

et al. 2016

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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International audienceThe 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

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Inferring Equation-Based Models from Agent-Based Models: A Case Study in Competition Dynamics

Cited by 5 publications

References 12 publications

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

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

Multi-level agent-based modeling - A literature survey

Toward an Agent-Based and Equation-Based Coupling Framework

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