Abstract
We present in this paper some attempts to design a Machine Learning method to predict preference knowledge in a multi-agents context. This approach is applied to a corporate knowledge management system.
This work was supported by the CoMMA (Corporate Memory Management through Agents) project [5] funded by the European Commission under Grant IST-1999- 12217, which started beginning of February 2000.
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Kiss, A., Quinqueton, J. (2002). Learning User Preferences in Multi-agent System. In: Dunin-Keplicz, B., Nawarecki, E. (eds) From Theory to Practice in Multi-Agent Systems. CEEMAS 2001. Lecture Notes in Computer Science(), vol 2296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45941-3_18
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DOI: https://doi.org/10.1007/3-540-45941-3_18
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