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Ontology Extraction for Knowledge Reuse: The e-Learning Perspective., , , and . page 798-809. (2011)ELeGI: The European Learning Grid Infrastructure., , and . LeGE-WG 3, BCS, (2003)How to Use Grid Technology for Creating Contextualized and Adaptive Learning Experiences: the European Learning Grid Infrastructure Software Architecture., , and . DMS, page 390-395. Knowledge Systems Institute, (2008)Combining Multi-Agent Paradigm and Memetic Computing for Personalized and Adaptive Learning Experiences., , and . Comput. Intell., 27 (2): 141-165 (2011)Learning the Models of Customer Behavior: From Television Advertising to Online Marketing., , , and . Int. J. Electron. Commer., 21 (4): 572-604 (2017)Fuzzy Consensus Model in Collective Knowledge Systems: An Application for Fighting Food Frauds., , and . WILF, volume 10147 of Lecture Notes in Computer Science, page 208-217. (2016)An adaptive multi-agent memetic system for personalizing e-learning experiences., , , and . FUZZ-IEEE, page 123-130. IEEE, (2011)Collective awareness in Smart City with Fuzzy Cognitive Maps and Fuzzy sets., , , , and . FUZZ-IEEE, page 1554-1561. IEEE, (2016)Dominance-based Rough Set Approach Supporting Experts in Situation Assessment., and . CogSIMA, page 9-16. IEEE, (2019)Situation Granularity., and . CogSIMA, page 49-55. IEEE, (2018)