GAMA: A Spatially Explicit, Multi-level, Agent-Based Modeling and Simulation Platform

Drogoul, Alexis; Amouroux, Edouard; Caillou, Philippe; Gaudou, Benoît; Grignard, Arnaud; Marilleau, Nicolas; Taillandier, Patrick; Vavasseur, Maroussia; Vo, Duc An; Zucker, Jean-Daniel

doi:10.1007/978-3-642-38073-0_25

Cited by 24 publications

(13 citation statements)

References 3 publications

(2 reference statements)

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“…Concerning studies based on platforms, we can mention GAMA [15] which is a platform development of MLABM to offer the developer an easy and appropriate language allowing to build and reuse complex models combining various agent architectures, environment representations, and levels of abstraction. [42] has proposed SPARK, a Simple Platform for Agent-based Representation of Knowledge which is a framework for multi-scale ABM, dedicated to biomedical research.…”

Section: Multi-level Agent-based Modeling Approachesmentioning

confidence: 99%

Natural Model based Design in Context: an Effective Method for Environmental Problems

Kameni¹,

Weide²,

Groot³

2017

CSIMQ

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Abstract. Analyzing complex problem domains is not easy. Simulation tools support decision makers to find the best policies. Model-based system development is an approach where a model of the application domain is the central driving force when designing simulation tools. State-of-the-art techniques however still require both expert knowledge of the application domain and the implementation techniques as provided by ICT (such as multilevel agent technology).Domain experts, however, usually do not master ICT sufficiently. Modeling is more insightful for the domain expert when its goal is to formalize the language being used in that domain as a semi-natural language. At the meta level, this language describes the main concepts of the type of application domain. The model then is a concretization of this meta model. The main focus of this article is (1) to propose a natural-language-based approach to modeling application domains, (2) to show how these models can be transformed systematically into computational models, and (3) to propose the tool TiC (Tool in Context) that supports the domain expert when developing a model and generating a simulation tool. Our research methodology is based on Design Science. We verify our approach by describing the various transformation steps in detail, and by demonstrating the way of working via a sample session applying a real problem of Laf Forest Reserve deforestation in North Cameroon.

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Section: Multi-level Agent-based Modeling Approachesmentioning

confidence: 99%

Natural Model based Design in Context: an Effective Method for Environmental Problems

Kameni¹,

Weide²,

Groot³

2017

CSIMQ

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“…By reducing the 3) Simulation platform: Our simulation of the effects of landslide on circulation on the National Road N°6 of Vietnam is implemented in the simulation platform GAMA [8]. GAMA is integrated and generic tools to support the representation of features usually associated with real complex systems, namely rich, dynamic and realistic environments or multiple levels of agency.…”

Section: ) Analysis and Evaluation Criteriamentioning

confidence: 99%

Modeling and simulation of the effects of landslide on circulation of transports on the mountain roads

Nguyễn¹,

Ho²,

Nguyen-Trong³

et al. 2015

ijacsa

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Abstract-Landslides, as one of the major natural hazards, account each year for enormous property damage in terms of both direct and indirect costs. Mountain roads where probability of land sliding is the highest, causes hurdles not only in the traffic flow but generate various traffic problems in the form of congestion, high accidents rate and waste of time. This paper introduces an agent-based model for modeling and simulation of the effects of landslide on the circulation of transports on mountain roads. This model is applied to the National Road N°6 of Vietnam to visualize and analyze the effects of landslide on the road when it occurs. This model could help us to improve and optimally organize of landslide warning and rescue system on the road.

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“… Multilevel Testing: Due to the multilevel nature of ABMS [25] and experiences reported in the testing literature [26], obviously a testing framework dedicated to ABMS should support multilevel testing as discussed [18,22,24]. Such an approach provides control over the degree of detail during simulation model development.…”

Section: Requirements Of Agent Based Simulation Testing Frameworkmentioning

confidence: 99%

RatKit: Repeatable Automated Testing Toolkit for Agent-Based Modeling and Simulation

Cakirlar

Gürcan

Dikenelli

et al. 2015

Multi-Agent-Based Simulation XV

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GAMA: A Spatially Explicit, Multi-level, Agent-Based Modeling and Simulation Platform

Cited by 24 publications

References 3 publications

Natural Model based Design in Context: an Effective Method for Environmental Problems

Natural Model based Design in Context: an Effective Method for Environmental Problems

Modeling and simulation of the effects of landslide on circulation of transports on the mountain roads

RatKit: Repeatable Automated Testing Toolkit for Agent-Based Modeling and Simulation

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