A Modelling Language to Represent and Specify Emerging Structures in Agent-Based Model

Vo, Duc-An; Drogoul, Alexis; Zucker, Jean-Daniel; Ho, Tuong Vinh

doi:10.1007/978-3-642-25920-3_15

Cited by 8 publications

(8 citation statements)

References 7 publications

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“…It is closely related to the emergence detection and reification problem (David and Courdier, 2009). Two main approaches have been proposed to tackle this issue: a statistical one (e.g., (Caillou and Gil-Quijano, 2012;Caillou et al, 2013;Moncion et al, 2010;Vo et al, 2012)) and a symbolic one (Chen et al, 2010(Chen et al, , 2009). It would be interesting to integrate them.…”

Section: Discussionmentioning

confidence: 99%

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

Soyez

Morvan

Dupont

2013

Lecture Notes in Computer Science

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This article proposes a methodology to model and simulate complex systems, based on IRM4MLS, a generic agent-based meta-model able to deal with multi-level systems. This methodology permits the engineering of dynamic multi-level agent-based models, to represent complex systems over several scales and domains of interest. Its goal is to simulate a phenomenon using dynamically the lightest representation to save computer resources without loss of information. This methodology is based on two mechanisms: (1) the activation or deactivation of agents representing different domain parts of the same phenomenon and (2) the aggregation or disaggregation of agents representing the same phenomenon at different scales.

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Section: Discussionmentioning

confidence: 99%

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

Soyez

Morvan

Dupont

2013

Lecture Notes in Computer Science

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“…This makes Repast Simphony 4 http://www.geotools.org/, accessed September 11, 2017 more suitable for the complex models and behaviors required in the GEWISS project. GAMA, on the other hand, is better suited for rapid prototyping because of its simple and easy to learn modeling language (GAML -GAMA Modeling Language [19]). …”

Section: Simulation Approachmentioning

confidence: 99%

Towards an Agent-based Simulation of Building Stock Development for the City of Hamburg

Preisler

Dethlefs

Renz

et al. 2017

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems

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Abstract-In the context of European climate goals municipalities have an increasing interest in an accurate estimation of current and future energy demand in buildings, as the domestic energy consumption is one of the major adjusting screws for the reduction of electrical and thermal energy consumption, whereas the demand for space heating has the highest impact. As part of the ongoing GEWISS project it is planned to create a geographical information system (GIS) to visualize domestic and industrial heat consumption in the city of Hamburg (Germany) to support political decision making by linking the development of urban areas and the district heating grid. Additionally, it is planned to provide simulation capabilities to offer planning assistance for future development. This paper will present the underlying agent-based simulation system that is used to simulate the development of the building stock. Thereby, the simulation approach and first results regarding the development of the renovation state of the building stock based on a study about the renovation behavior of different types of home-owners of detached and terraced houses will be presented.

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“…• GAMA 7 is a MABS platform with a dedicated modeling language, GAML, that offers multi-level capabilities [32]. Moreover, it includes a framework (a set of predefined GAML commands) to agentify emerging structures [34]. It is certainly the most advanced platform, from an end-user point of view, that integrates a multi-level approach.…”

Section: Related Workmentioning

confidence: 99%

“…Four main theoretical issues emerge in the literature on multi-level 1 agent-based modeling: the conception of a meta-model allowing a non ambiguous characterization of a multi-level model at the conceptual level [18,23,29,33], the introduction of a dynamic level of detail [25,31], the detection and reification of emergent phenomena [2,3,5,21,30,34] and the representation of aggregated entities [27]. This paper focuses on the first one, with respect to the Influence Reaction (IR) principle, shortly, action as a two step process: (1) agents produce "influences", i.e., individual decisions, according to their internal state and perceptions (2) the system "reacts", i.e., computes the consequences of influences, according to the state of the world [10].…”

Section: Introductionmentioning

confidence: 99%

Multi-level agent-based modeling with the Influence Reaction principle

Morvan,

Jolly

2012

Preprint

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A Modelling Language to Represent and Specify Emerging Structures in Agent-Based Model

Cited by 8 publications

References 7 publications

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

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

Towards an Agent-based Simulation of Building Stock Development for the City of Hamburg

Multi-level agent-based modeling with the Influence Reaction principle

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