Paper Info
Title
Model-driven engineering techniques for the development of multi-agent systems
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.
Year
DOI
Venue
2012
10.1016/j.engappai.2011.08.008
Eng. Appl. of AI
Keywords
DocType
Volume
meta-model principle,mas editor,multi-agent system,model-driven engineering technique,agent-oriented software development,developed system,prometheus methodology,graphical editor,ecore meta-model,agent code generator,mde paradigm,prometheus language,multi agent systems
Journal
25
Issue
ISSN
Citations 
1
0952-1976
38
PageRank 
References 
Authors
1.09
31
3
Name
Order
Citations
PageRank
José M. Gascueña1673.85
Elena Navarro233637.41
Antonio Fernández-Caballero31317117.99