Title of article :
Model-driven engineering techniques for the development of multi-agent systems
Author/Authors :
J.L. and Martيnez Gascueٌa، نويسنده , , José M. and Navarro، نويسنده , , Elena and Fernلndez-Caballero، نويسنده , , Antonio، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
15
From page :
159
To page :
173
Abstract :
Model-driven engineering (MDE), implicitly based upon meta-model principles, is gaining more and more attention in software systems due to its inherent benefits. Its use normally improves the quality of the developed systems in terms of productivity, portability, inter-operability and maintenance. Therefore, its exploitation for the development of multi-agent systems (MAS) emerges in a natural way. In this paper, agent-oriented software development (AOSD) and MDE paradigms are fully integrated for the development of MAS. Meta-modeling techniques are explicitly used to speed up several phases of the process. The Prometheus methodology is used for the purpose of validating the proposal. The meta-object facility (MOF) architecture is used as a guideline for developing a MAS editor according to the language provided by Prometheus methodology. Firstly, an Ecore meta-model for Prometheus language is developed. Ecore is a powerful tool for designing model-driven architectures (MDA). Next, facilities provided by the Graphical Modeling Framework (GMF) are used to generate the graphical editor. It offers support to develop agent models conform to the meta-model specified. Afterwards, it is also described how an agent code generator can be developed. In this way, code is automatically generated using as input the model specified with the graphical editor. A case of study validates the method put in practice for the development of a multi-agent surveillance system.
Keywords :
MDE-MAS method and tool , Eclipse-Modelling Framework , Agent-oriented software development , Graphical Modelling Framework , Multi-agent systems , Agent-based method , model-driven development , Meta-modeling , Surveillance systems
Journal title :
Engineering Applications of Artificial Intelligence
Serial Year :
2012
Journal title :
Engineering Applications of Artificial Intelligence
Record number :
2125579
Link To Document :
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