Model Driven Engineering for Designing Adaptive Multi-Agents Systems

Rougemaille, Sylvain; Migeon, Frédéric; Maurel, Christine; Gleizes, Marie-Pierre

doi:10.1007/978-3-540-87654-0_18

Cited by 23 publications

(30 citation statements)

References 15 publications

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“…To support the development of MASs, various DSMLs have been introduced that provide a declarative approach for modeling and supporting the generation of agent-based systems (e.g., Rougemaille et al 2007;Hahn 2008;Fuentes-Fernandez et al 2010;Ciobanu and Juravle 2012;Gascuena et al 2012;Challenger et al 2014). In addition to these existing DSMLs, it is expected that new DSMLs can be introduced in the future to address various different concerns in MAS.…”

Section: Introductionmentioning

confidence: 99%

A systematic approach to evaluating domain-specific modeling language environments for multi-agent systems

2015

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Multi-agent systems (MASs) include multiple interacting agents within an environment to provide a solution for complex systems that cannot be easily solved with individual agents or monolithic systems. However, the development of MASs is not trivial due to the various agent properties such as autonomy, responsiveness, and proactiveness, and the need for realization of the many different agent interactions. To support the development of MASs various domain-specific modeling languages (DSMLs) have been introduced that provide a declarative approach for modeling and supporting the generation of agent-based systems. To be effective, the proposed DSMLs need to meet the various stakeholder concerns and the related quality criteria for the corresponding MASs. Unfortunately, very often the evaluation of the DSML is completely missing or has been carried out in idiosyncratic approach. If the DSMLs are not well defined, then implicitly this will have an impact on the quality of the MASs. In this paper, we present an evaluation framework and systematic approach for assessing existing or newly defined DSMLs for MASs. The evaluation is specific for MAS DSMLs and targets both the language and the corresponding tools. To illustrate the evaluation approach, we first present SEA_ML, which is a model-driven MAS DSML for supporting the modeling and generation of agentbased systems. The evaluation of SEA_ML is based on a multi-case study research approach and provides both qualitative evaluation and quantitative analysis. We report on the lessons learned considering the adoption of the evaluation approach as well as the SEA_ML for supporting the generation of agent-based systems.

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Section: Introductionmentioning

confidence: 99%

A systematic approach to evaluating domain-specific modeling language environments for multi-agent systems

2015

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“…However, the proposed DSL is presented only with its metamodel and provides just the visual modelling of the agent systems. Likewise in [18], Rougemaille et al introduce two dedicated modeling languages and call those languages as DSMLs. The languages are described by metamodels which can be seen as representations of the main concepts and relationships identified for each of the particular domains introduced in [18].…”

Section: Related Workmentioning

confidence: 99%

“…Likewise in [18], Rougemaille et al introduce two dedicated modeling languages and call those languages as DSMLs. The languages are described by metamodels which can be seen as representations of the main concepts and relationships identified for each of the particular domains introduced in [18]. In fact, the study only defines generic agent metamodels for MDE of MASs.…”

Section: Related Workmentioning

confidence: 99%

Towards a DSML for semantic web enabled multi-agent systems

Kardaş

Demirezen

Challenger

2010

Proceedings of the International Workshop on Formalization of Modeling Languages

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Software agents are considered as autonomous software components which are capable of acting to meet its design objectives. To perform their tasks and interact with each other, agents constitute systems called Multi-agent systems (MAS). Although agent researchers have a great effort in MAS metamodeling and model-driven MAS development, a significant deficiency exists in current studies when we consider providing a complete Domain Specific Modeling Language (DSML) for MASs. We believe that a DSML increases the descriptive power of a MAS metamodel, defines the system semantics and hence supports a more fruitful methodology for the development of MASs especially working on the new challenging environments such as the Semantic Web. In this paper, we introduce a new DSML for MASs with its abstract syntax, the textual concrete syntax and the interpreter mechanism. The practical use of the DSML is illustrated with a case study which considers the modeling of a multi-agent based e-barter system.

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“…However, the proposed DSL is presented only with its metamodel and provides just a visual modeling of the agent systems according to agent features, like knowledge, interaction, adaptation, autonomy and collaboration. Likewise, in [30], the authors introduced two DSMLs. These languages are described by metamodels which can be seen as the representations of the main concepts and relationships identified for each of the particular domains again introduced in [30].…”

Section: Related Workmentioning

confidence: 99%

“…Likewise, in [30], the authors introduced two DSMLs. These languages are described by metamodels which can be seen as the representations of the main concepts and relationships identified for each of the particular domains again introduced in [30]. The study included only the abstract syntax of the related DSMLs and does not give the concrete syntax or semantics of the DSMLs.…”

Section: Related Workmentioning

confidence: 99%

Interoperability of MAS DSMLs via horizontal model transformations

Bircan¹,

Challenger²,

Kardaş³

2016

Annals of Computer Science and Information Systems

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Abstract-In this paper, we present our approach which aims at improving the mechanism of constructing language semantics over the interoperability of domain-specific modeling languages (DSMLs) developed for Multi-agent Systems (MAS) and hence providing a more efficient way of extension for the executability of modeled agent systems on various underlying agent platforms. Differentiating from the existing MAS DSML studies, our proposal is based on determining entity mappings and building horizontal model transformations between the metamodels of MAS DSMLs which are in the same abstraction level. The applicability of the approach is demonstrated in the paper by constructing horizontal transformations between two full-fledged agent DSMLs, called SEA_ML and DSML4MAS. Use of these transformations has enabled SEA_ML instance models now to be executable on new agent platforms and that feature has been provided with less effort comparing with the implementation of needed transformations between SEA_ML and those new agent platforms from scratch.

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Model Driven Engineering for Designing Adaptive Multi-Agents Systems

Cited by 23 publications

References 15 publications

A systematic approach to evaluating domain-specific modeling language environments for multi-agent systems

A systematic approach to evaluating domain-specific modeling language environments for multi-agent systems

Towards a DSML for semantic web enabled multi-agent systems

Interoperability of MAS DSMLs via horizontal model transformations

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