The CILT multi-agent learning system
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Authors
Viktor, HL
Issue Date
1999
Type
Article
Language
en
Keywords
Multi-agent learning , Rule induction , Data analysis , Knowledge discovery
Alternative Title
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.
Description
Citation
Viktor HL (1999) The CILT multi-agent learning system. South African Computer Journal, Number 24, 1999
Publisher
South African Computer Society (SAICSIT)
License
Journal
Volume
Issue
PubMed ID
DOI
ISSN
2313-7835