GAMA: A Simulation Platform That Integrates Geographical Information Data, Agent-Based Modeling and Multi-scale Control

Taillandier, Patrick; Vo, Duc-An; Amouroux, Edouard; Drogoul, Alexis

doi:10.1007/978-3-642-25920-3_17

Cited by 109 publications

(70 citation statements)

References 14 publications

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“…In this article we address the 10 question of whether an ideal standard for describing models exists. We first suggest a classification 11 for structuring types of model descriptions. Secondly, we differentiate purposes for which model 12 descriptions are important.…”

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confidence: 99%

Standardised and transparent model descriptions for agent-based models: Current status and prospects

Müller

Balbi

Buchmann

et al. 2014

Environmental Modelling & Software

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Weise, H. (2014). Standardised and transparent model descriptions for agent-based models: Current status and prospects. ENVIRONMENTAL MODELLING AND SOFTWARE, 55, 156-163. https://doi.org/10.1016/j.envsoft.2014 Citing this paper Please note that where the full-text provided on King's Research Portal is the Author Accepted Manuscript or Post-Print version this may differ from the final Published version. If citing, it is advised that you check and use the publisher's definitive version for pagination, volume/issue, and date of publication details. And where the final published version is provided on the Research Portal, if citing you are again advised to check the publisher's website for any subsequent corrections. General rightsCopyright and moral rights for the publications made accessible in the Research Portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognize and abide by the legal requirements associated with these rights.•Users may download and print one copy of any publication from the Research Portal for the purpose of private study or research.•You may not further distribute the material or use it for any profit-making activity or commercial gain •You may freely distribute the URL identifying the publication in the Research Portal Take down policy If you believe that this document breaches copyright please contact librarypure@kcl.ac.uk providing details, and we will remove access to the work immediately and investigate your claim.

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confidence: 99%

Standardised and transparent model descriptions for agent-based models: Current status and prospects

Müller

Balbi

Buchmann

et al. 2014

Environmental Modelling & Software

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“…In the context of this work, the GAMA platform was used [7,8,9]. GAMA is a freely available modeling and simulation development environment for building spatially explicit agent-based simulations.…”

Section: Gama Platformmentioning

confidence: 99%

“…A variable between 0 and 1 is randomly selected in a uniform distribution. If the result is less than (8), the transition to the FLYING state occurs. Otherwise, the scolyte stays in the EATING state.…”

Section: Static Modelmentioning

confidence: 99%

On the Joint Modeling of the Behavior of Social Insects and Their Interaction with Environment by Taking into Account Physical Phenomena Like Anisotropic Diffusion

Cazin

Histace²,

Picard

et al. 2015

Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection

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This work takes place in the framework of GEODIFF project (funded by CNRS) and deals with the general issue of the social behavior modeling of pest insects with a particular focus on Bark Beetles. Bark Beetles are responsible for pine trees devastation in North America since 2005. In order to stem the problem and to apply an adapted strategy, one should be able to predict the evolution of the population of Bark Beetles. More precisely, a model taking into account a given population of insects (a colony) interacting with its environment, the forest ecosystem, would be very helpful. In a previous work, we aimed to model diffusive phenomenons across the environment using a simple reactive Multiagent System. Bark beetle use pheromones as a support for recruitment of other bark beetles in the neighborhood in order to achieve a mass attack over a tree. They are first attracted by the ethanol or other phytopheromones emitted by a sick, stressed or dead tree and reinforce the presence of other individuals amongst the targeted tree. Both ethanol and semiochemicals are transported through the forest thanks to the wind, thermic effects and this advection phenomenon is modulated by the topology of the environment, tree and other obstacles distribution. In other words, the environment is involved in the process of a bark beetle attack. The first modeling we used to tackle our objective was not spatially explicit as long as free space propagation only was taken into account (isotropic phenomenon) with no constraint imposed by the environment such as wind. This article is intended to take into account such physical phenomenons and push the modeling one step further by providing predictions driven by measures provided by a Geographical Information System.

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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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GAMA: A Simulation Platform That Integrates Geographical Information Data, Agent-Based Modeling and Multi-scale Control

Cited by 109 publications

References 14 publications

Standardised and transparent model descriptions for agent-based models: Current status and prospects

Standardised and transparent model descriptions for agent-based models: Current status and prospects

On the Joint Modeling of the Behavior of Social Insects and Their Interaction with Environment by Taking into Account Physical Phenomena Like Anisotropic Diffusion

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

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