A Methodology to Engineer and Validate Dynamic Multi-level Multi-agent Based Simulations

Soyez, Jean-Baptiste; Morvan, Gildąs; Dupont, Daniel

doi:10.1007/978-3-642-38859-0_10

Cited by 5 publications

(6 citation statements)

References 13 publications

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“…To deal with this issue, we developed a generic approach called SIMILAR to design simulations (see Morvan and Kubera (2014) for more detailed information about the main principles of SIMILAR). Indeed, this approach relies on a multi-level, influence-reaction and agent-based knowledge representation, more fitting to multiple viewpoints (Ferber and Müller, 1996;Michel, 2007;Soyez et al, 2013).…”

Section: Proposed Solutionsmentioning

confidence: 99%

A First Step Towards Dynamic Hybrid Traffic Modeling

Bouha¹,

Morvan²,

Abouaïssa³

et al. 2015

ECMS 2015 Proceedings Edited By: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova

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Hybrid traffic modeling and simulation provide an important way to represent and evaluate large-scale traffic networks at different levels of details. The first level, called "microscopic" allows the description of individual vehicles and their interactions as well as the study of driver's individual behavior. The second, based on the analogy with fluidic dynamic, is the "macroscopic" one and provides an efficient way to represent traffic flow behavior in large traffic infrastructures, using three aggregated variables: traffic density, mean speed and traffic volume. An intermediate level called "mesoscopic" considers a group of vehicles sharing common properties such as a same origin and destination. The work conducted in this paper presents a first step allowing simulation of wide area traffic network on the basis of dynamic hybrid modeling, where the representation associated to a network section can change at runtime. The proposed approach is implemented in a simulation platform, called JAM-FREE.

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Section: Proposed Solutionsmentioning

confidence: 99%

A First Step Towards Dynamic Hybrid Traffic Modeling

Bouha¹,

Morvan²,

Abouaïssa³

et al. 2015

ECMS 2015 Proceedings Edited By: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova

Self Cite

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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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“…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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A Methodology to Engineer and Validate Dynamic Multi-level Multi-agent Based Simulations

Cited by 5 publications

References 13 publications

A First Step Towards Dynamic Hybrid Traffic Modeling

A First Step Towards Dynamic Hybrid Traffic Modeling

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

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

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