The Pragmatics of Model-Driven Development
IEEE Software
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FMOODS'06 Proceedings of the 8th IFIP WG 6.1 international conference on Formal Methods for Open Object-Based Distributed Systems
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Web Intelligence and Agent Systems
CooL-AgentSpeak: Endowing AgentSpeak-DL agents with plan exchange and ontology services
Web Intelligence and Agent Systems
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Model Driven Development (MDD) provides an infrastructure that simplifies Multi-agent System (MAS) development by increasing the abstraction level. In addition to defining models, transformation process for those models is also crucial in MDD. On the other hand, MAS modeling should also take care of emerging requirements of MAS deployment on the Semantic Web environment. Hence, in this paper we propose a model transformation process for MDD of Semantic Web enabled MASs. We first define source and target models for the transformation regarding the modeling of interactions between agents and semantic web services and then grant mappings between these source and model entities to derive transformation rules and constraints. Finally we realize the whole transformation for a real MAS framework by using a well-known model transformation language named ATL.