Towards Virtual Epidemiology: An Agent-Based Approach to the Modeling of H5N1 Propagation and Persistence in North-Vietnam

Amouroux, Edouard; Desvaux, Stéphanie; Drogoul, Alexis

doi:10.1007/978-3-540-89674-6_6

Cited by 24 publications

(17 citation statements)

References 9 publications

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“…This platform provides a complete modeling and simulation development environment for building multi-agent simulations. Many models have already been implemented using this platform (e.g., [47,48]). Its main advantages come from its versatility (domain independent) and its simplicity of use.…”

Section: Numerical Implementation and Simulationmentioning

confidence: 99%

A multi-agent model to manage risks in construction project (SMACC)

Taillandier

Tepeli

et al. 2015

Automation in Construction

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Section: Numerical Implementation and Simulationmentioning

confidence: 99%

A multi-agent model to manage risks in construction project (SMACC)

Taillandier

Tepeli

et al. 2015

Automation in Construction

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“…[7]), or even to Agent-Based Models (ABM), where the diversity of individual behaviours and interactions between individuals are native features (e.g. [2,20]). The main advantage of IBM/ABM is to be almost undefinitely extensible, since the introduction of new hypotheses essentially leads to introduct of new agents or behaviours.…”

Section: The Rise Of Individual and Agent-based Modelsmentioning

confidence: 99%

A Multi-Level Multi-Agent Simulation Framework in Animal Epidemiology

Picault

Huang

Sicard

et al. 2017

Lecture Notes in Computer Science

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In order to recommend better control measures in public or animal health, epidemiologists incorporate ever-finer details in their models, from individual diversity to public policies, which often involve several observation scales. Due to the variety of modelling paradigms, it becomes more and more difficult to compare hypotheses and outcomes, all the more that the increased complexity of simulation programs is not yet counterbalanced by design principles nor by software engineering methods. We propose in this paper to use the multi-level agent-based paradigm to integrate existing methods within a common interface, provide a separation between concerns and reduce the part of code devoted to model designers. We illustrate our approach with an application to the Q fever disease in cattle.

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“…Many models have already been implemented using this platform (e.g. [3] [4][5] [6]). Its main advantages come from its versatility (domain independent) and the simplicity to define a model with it.…”

Section: Gama : a Simulation Platform That Integrates Geographical Inmentioning

confidence: 99%