Innovative features in a distributed decision support system based on intelligent agent technology
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FTDCS '95 Proceedings of the 5th IEEE Workshop on Future Trends of Distributed Computing Systems
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EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
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As contemporary intelligent transportation systems are becoming a reality in our everyday's life and future urban transportation brings about concerns of a wide range of new performance measures, multidisciplinary teams are more and more faced with the need to work collaboratively so as to meet those demands. This paper reports on the specification of the MAS-T2er Lab framework, emphasising on its ability to support collaborative simulation and different perspective analyses of the complex and dynamic application domain of traffic and transportation in major urban areas. The architecture underlying all subsystems within the framework is discussed on the basis of the multi-agent systems metaphor, and a practical overview of its use is presented.