Abstract
Knowledge management has gained relevance during the last years to improve business functioning. However, there is still a growing need of developing innovative tools that can help small to medium sized enterprises to detect and predict undesired situations. This article present a multi-agent system aimed at detecting risky situations. The multi-agent system incorporates models for reasoning and makes predictions using case-based reasoning. The models are used to detect risky situations and an providing decision support facilities. An initial prototype was developed and the results obtained related to small and medium enterprises in a real scenario are presented.
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© 2012 Springer-Verlag Berlin Heidelberg
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Borrajo, M.L., Bajo, J., De Paz, J.F. (2012). Improving Production in Small and Medium Enterprises. In: Rodríguez, J., Pérez, J., Golinska, P., Giroux, S., Corchuelo, R. (eds) Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28795-4_6
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DOI: https://doi.org/10.1007/978-3-642-28795-4_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28794-7
Online ISBN: 978-3-642-28795-4
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