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The CILT multi-agent learning system

Show simple item record Viktor, HL 2018-06-14T11:45:21Z 2018-06-14T11:45:21Z 1999
dc.identifier.citation Viktor HL (1999) The CILT multi-agent learning system. South African Computer Journal, Number 24, 1999 en
dc.identifier.issn 2313-7835
dc.description.abstract A multi-agent learning system consists of two or more learners or learning agents that co-exist in a learning environment. The learners have the ability to learn together, thus utilizing one another's strengths and alleviating individual weaknesses. This paper describes the cooperative inductive learning team (CILT) multi-agent learning system that consists of two or more learners which induce rules from training examples. The learners cooperate by sharing their knowledge with one another. In this way, the individual results are improved and a team knowledge-base, that contains the best team results, is created. en
dc.language.iso en en
dc.publisher South African Computer Society (SAICSIT) en
dc.subject Multi-agent learning en
dc.subject Rule induction en
dc.subject Data analysis en
dc.subject Knowledge discovery en
dc.title The CILT multi-agent learning system en
dc.type Article en

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