2015
DOI: 10.1016/j.jss.2015.06.008
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MAS-ML 2.0: Supporting the modelling of multi-agent systems with different agent architectures

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Cited by 32 publications
(37 citation statements)
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References 19 publications
(27 reference statements)
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“…They generated a text editor with auto-completion and error signaling features and presented a way of code generation for agent systems starting from their textual description. A recent work conducted in [20] aimed at creating a UML-based agent modeling language, called MAS-ML, which is able to model the well-known types of agent internal architectures, namely simple reflex agent, model-based agent, reflex agent, goal-based agent and utility-based agent. Representation and exemplification of all supported agent architectures in the concrete syntax of the introduced language are given.…”
Section: Related Workmentioning
confidence: 99%
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“…They generated a text editor with auto-completion and error signaling features and presented a way of code generation for agent systems starting from their textual description. A recent work conducted in [20] aimed at creating a UML-based agent modeling language, called MAS-ML, which is able to model the well-known types of agent internal architectures, namely simple reflex agent, model-based agent, reflex agent, goal-based agent and utility-based agent. Representation and exemplification of all supported agent architectures in the concrete syntax of the introduced language are given.…”
Section: Related Workmentioning
confidence: 99%
“…As the future work, we first plan to extend the applicability of this interoperability approach for some other MAS DSMLs such as MAS-ML [20]. Later, the assessment of the language interoperability will be performed e.g.…”
Section: Related Workmentioning
confidence: 99%
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“…In addition, many model-driven agent development approaches are provided such as [12][13][14][15] and researchers also propose domain-specific languages (DSLs) / domain-specific modeling languages (DSMLs) (e.g. [16][17][18][19][20][21][22][23][24]) for facilitating the development of MASs by enriching MAS metamodels with some defined syntax and semantics (usually translational semantics [25]). DSLs / DSMLs [26][27][28] have notations and constructs tailored toward a particular application domain (e.g.…”
Section: Introductionmentioning
confidence: 99%