Abstract
This work describes the study, analysis, modeling and implementation of information agents aiming to manage and share knowledge in a context of virtual Communities of Practice. The main goal is to define a decentralized platform to manage profiles of users and communities. Two types of agents have been modeled, one including the behaviors needed to agents representing communities and other including the behaviors needed to agents representing members of communities. These behaviors have access to the profiles, what allow agents to exchange information about interest and knowledge in order to receive recommendations according to similarities found. Some experiments are presented showing how the system works in a specific domain and the results obtained.
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da Silva, J.L.T., Lubenow, S.D., Ribeiro, A.M. (2012). Profile Recommendation in Communities of Practice Based on Multiagent Systems. In: Barros, L.N., Finger, M., Pozo, A.T., Gimenénez-Lugo, G.A., Castilho, M. (eds) Advances in Artificial Intelligence - SBIA 2012. SBIA 2012. Lecture Notes in Computer Science(), vol 7589. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34459-6_18
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DOI: https://doi.org/10.1007/978-3-642-34459-6_18
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