An Operational Meta-Model for Handling Multiple Scales in Agent-Based Simulations

Vo, Duc-An; Drogoul, Alexis; Zucker, Jean-Daniel

doi:10.1109/rivf.2012.6169849

Cited by 10 publications

(8 citation statements)

References 5 publications

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“…when this proves possible and relevant, in order to simulate much larger scales. As GAMA allows to couple computer models and mathematical models within the same simulation at different scales ( 70 ), this approach will not pose any technical problems, but it does raise quite interesting conceptual problems ( 71 ).…”

Section: Discussionmentioning

confidence: 99%

COMOKIT: A Modeling Kit to Understand, Analyze, and Compare the Impacts of Mitigation Policies Against the COVID-19 Epidemic at the Scale of a City

Gaudou

Huynh

Philippon

et al. 2020

Front. Public Health

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Since its emergence in China, the COVID-19 pandemic has spread rapidly around the world. Faced with this unknown disease, public health authorities were forced to experiment, in a short period of time, with various combinations of interventions at different scales. However, as the pandemic progresses, there is an urgent need for tools and methodologies to quickly analyze the effectiveness of responses against COVID-19 in different communities and contexts. In this perspective, computer modeling appears to be an invaluable lever as it allows for the in silico exploration of a range of intervention strategies prior to the potential field implementation phase. More specifically, we argue that, in order to take into account important dimensions of policy actions, such as the heterogeneity of the individual response or the spatial aspect of containment strategies, the branch of computer modeling known as agent-based modeling is of immense interest. We present in this paper an agent-based modeling framework called COVID-19 Modeling Kit (COMOKIT), designed to be generic, scalable and thus portable in a variety of social and geographical contexts. COMOKIT combines models of person-to-person and environmental transmission, a model of individual epidemiological status evolution, an agenda-based 1-h time step model of human mobility, and an intervention model. It is designed to be modular and flexible enough to allow modelers and users to represent different strategies and study their impacts in multiple social, epidemiological or economic scenarios. Several large-scale experiments are analyzed in this paper and allow us to show the potentialities of COMOKIT in terms of analysis and comparison of the impacts of public health policies in a realistic case study.

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Section: Discussionmentioning

confidence: 99%

COMOKIT: A Modeling Kit to Understand, Analyze, and Compare the Impacts of Mitigation Policies Against the COVID-19 Epidemic at the Scale of a City

Gaudou

Huynh

Philippon

et al. 2020

Front. Public Health

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“…Having analysed and compared existing multi-level multiagent models with regards to the needs in cartographic generalisation, including [6], [14], [21], [23], [25], our choice was to use the PADAWAN model [16], where the non-tree-like organisation of levels and the flexible definition of environment seem wide enough to model the complex relations between our geographical objects. PADAWAN is a multi-level multi-agent model for simulation, allowing agents to get relations in several environments.…”

Section: 2mentioning

confidence: 99%

Representation of Interactions in a Multi-Level Multi-Agent Model for Cartography Constraint Solving

Maudet¹,

Touya²,

Duchêne³

et al. 2014

Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection

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International audienceThe objective of cartographic generalisation is to simplify geographic data in order to create legible maps when scale decreases. It often requires to reason at different levels of abstraction (e.g. a building, a city). To automate this process, Multi-Agent approaches have been used since several years, by modelling map objects (e.g. buildings) as autonomous entities trying to solve constraints through appropriate transformations. Yet, those approaches are not able to deal with all situations that appear between cartographic objects in a map. Indeed, though a map intrinsically involves objects that belong to several description, scale or organisation levels, there is no explicit multi-level representation in agent-based cartographic models. Thus we assume that the use of a multi-level multi-agent model would improve the automated generalisation process. Especially, the PADAWAN model is a multi-agent model offering multi-level capabilities which match quite well the requirements for the multi-level organisation of cartographic objects. In this paper, we expose how we use this model on the one hand, to reify multi-level relations between cartographic agents, and on the other hand, to represent the constraints and the actions proposed to solve them, as interactions between the agents

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“…In this kind of approach, a powerful visualization toolkit is, among other statistic tools, one of the more intuitive way to understand, describe and perceive the multi-level paradigm. Gama meta-model has been design to take in account simultaneously several levels in the same model [18]. Thus, we can easily represent multi-level model using multi-layer rendering where layers can be then placed on different z value to represent different level of organisations as shown in figure 5.…”

Section: Multi-level Modelingmentioning

confidence: 99%

Online Analysis and Visualization of Agent Based Models

Grignard

Drogoul

Zucker

2013

Lecture Notes in Computer Science

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Agent-based modeling is used to study many kind of complex systems in different fields such as biology, ecology, or sociology. Visualization of the execution of a such complex systems is crucial in the capacity to apprehend its dynamics. The ever increasing complexification of requirements asked by the modeller has highlighted the need for more powerful tools than the existing ones to represent, visualize and interact with a simulation and extract data online to discover imperceptible dynamics at different spatio-temporal scales. In this article we present our research in advanced visualization and online data analysis developed in GAMA an agent-based, spatially explicit, modeling and simulation platform.

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An Operational Meta-Model for Handling Multiple Scales in Agent-Based Simulations

Cited by 10 publications

References 5 publications

COMOKIT: A Modeling Kit to Understand, Analyze, and Compare the Impacts of Mitigation Policies Against the COVID-19 Epidemic at the Scale of a City

COMOKIT: A Modeling Kit to Understand, Analyze, and Compare the Impacts of Mitigation Policies Against the COVID-19 Epidemic at the Scale of a City

Representation of Interactions in a Multi-Level Multi-Agent Model for Cartography Constraint Solving

Online Analysis and Visualization of Agent Based Models

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