Abstract
This paper presents the knowledge model of a distributed decision support system, that has been designed for the management of a national network in Ukraine. It shows how advanced Artificial Intelligence techniques multiagent systems and knowledge modelling) have been applied to solve this real-world decision support problem: on the one hand its distributed nature, implied by different loci of decision-making at the network nodes, suggest the application of a multiagent solution; on the other, due to the complexity of problem-solving for local network administration, it was useful to apply knowledge modelling techniques, in order to structure the different knowledge types and reasoning processes involved. The paper sets out from a description of our particular management problem. Subsequently, our agent model is described, pointing out the local problem-solving and coordination knowledge models. Finally, the dynamics of the approach is illustrated by an example.
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Molina, M., Ossowski, S. (1999). Knowledge Modelling in Multiagent Systems: The Case of the Management of a National Network. In: Zuidweg, H., Campolargo, M., Delgado, J. (eds) Intelligence in Services and Networks Paving the Way for an Open Service Market. IS&N 1999. Lecture Notes in Computer Science, vol 1597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48888-X_48
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DOI: https://doi.org/10.1007/3-540-48888-X_48
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