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Volumn 27, Issue 2, 2011, Pages 141-165

Combining multi-agent paradigm and memetic computing for personalized and adaptive learning experiences

Author keywords

adaptive e learning; memetic algorithms; multi agent systems; personalized e learning

Indexed keywords

ADAPTIVE E-LEARNING; ADAPTIVE LEARNING; COMPUTATIONAL EFFORT; COMPUTATIONAL INTELLIGENCE; COMPUTATIONALLY EFFICIENT; COOPERATIVE DISTRIBUTED PROBLEM SOLVING; DISTRIBUTED PROBLEMS; E-LEARNING ENVIRONMENT; LEARNING ENVIRONMENTS; LEARNING EXPERIENCES; LEARNING METHODS; MEMETIC; MEMETIC ALGORITHMS; MEMETIC APPROACH; MULTI-AGENT; NEW ECONOMY; ONTOLOGICAL REPRESENTATION; PERSONALIZATIONS; PERSONALIZED E-LEARNING; SUITABLE SOLUTIONS; SUPPORT LEARNING; SUPPORT MECHANISM;

EID: 79955736465     PISSN: 08247935     EISSN: 14678640     Source Type: Journal    
DOI: 10.1111/j.1467-8640.2010.00367.x     Document Type: Article
Times cited : (26)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.