Model Driven Design of Multiagent Systems - Agents and Artificial Intelligence - page 24

be realized. This approach is pragmatic and procedural with the advantage to
define an operative semantics for the models in the transformation to a specific
execution environment. Further research needs to be done to link the presented
approach with proposals for declarative protocol specifications like for example
presented in [16,6,1].
The main contribution of the work presented in this article aims at the de-
sign of agent-based systems and multiagent systems from a software engineer-
ing perspective. In this work AI aspects are not directly obvious. However, in
matchmaking of queries on model repositories and in the internal reasoning of
the agents AI topics are of course relevant. At least regarding reasoning work on
agent technologies (e.g. the agent development tool JACK) it has been shown
that modelling and reasoning can be brought together. We plan to integrate
these AI aspects more deeply with our approach in future work.
Acknowledgements. The paper is based on work performed in the project
COIN (EU FP7 Project 216256; www.coin-ip.eu) funded by the European Com-
munity within the IST-Programme of the 7th Framework Research Programme.
The authors also thank the contribution from other partners in the COIN con-
sortium.
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