II-Learn—A Novel Metric for Measuring the Intelligence Increase and Evolution of Artificial Learning Systems

A novel accurate and robust metric called II-Learn for measuring the increase of intelligence of a system after a learning process is proposed. We define evolving learning systems, as systems that are able to make at least one measurable evolutionary step by learning. To prove the effectiveness of t...

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Bibliographic Details
Published inInternational journal of computational intelligence systems Vol. 12; no. 2; pp. 1323 - 1338
Main Authors Iantovics, László Barna, Iakovidis, Dimitris K., Nechita, Elena
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.01.2019
Springer
Subjects
Cooperative multiagent system
Evolving system
Intelligent system
Machine intelligence
Machine intelligence measure
Machine learning
Research Article
Evolving system
Machine intelligence measure
Machine intelligence
Intelligent system
Cooperative multiagent system
Machine learning
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Summary:A novel accurate and robust metric called II-Learn for measuring the increase of intelligence of a system after a learning process is proposed. We define evolving learning systems, as systems that are able to make at least one measurable evolutionary step by learning. To prove the effectiveness of the metric we performed a case study, using a learning system. The universality of II-Learn is based on the fact that it does not depend on the architecture of the studied system.
ISSN:1875-6891
1875-6883
1875-6883
DOI:10.2991/ijcis.d.191101.001