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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Springer
2019-11-01
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Series: | International Journal of Computational Intelligence Systems |
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Online Access: | https://www.atlantis-press.com/article/125921810/view |
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author | László Barna Iantovics Dimitris K. Iakovidis Elena Nechita |
author_facet | László Barna Iantovics Dimitris K. Iakovidis Elena Nechita |
author_sort | László Barna Iantovics |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-12T08:09:02Z |
format | Article |
id | doaj.art-3b360f7613bd463d9f198e5e487886ec |
institution | Directory Open Access Journal |
issn | 1875-6883 |
language | English |
last_indexed | 2024-12-12T08:09:02Z |
publishDate | 2019-11-01 |
publisher | Springer |
record_format | Article |
series | International Journal of Computational Intelligence Systems |
spelling | doaj.art-3b360f7613bd463d9f198e5e487886ec2022-12-22T00:31:50ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832019-11-0112210.2991/ijcis.d.191101.001II-Learn—A Novel Metric for Measuring the Intelligence Increase and Evolution of Artificial Learning SystemsLászló Barna IantovicsDimitris K. IakovidisElena NechitaA 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.https://www.atlantis-press.com/article/125921810/viewMachine learningMachine intelligenceIntelligent systemEvolving systemCooperative multiagent systemMachine intelligence measure |
spellingShingle | László Barna Iantovics Dimitris K. Iakovidis Elena Nechita II-Learn—A Novel Metric for Measuring the Intelligence Increase and Evolution of Artificial Learning Systems International Journal of Computational Intelligence Systems Machine learning Machine intelligence Intelligent system Evolving system Cooperative multiagent system Machine intelligence measure |
title | II-Learn—A Novel Metric for Measuring the Intelligence Increase and Evolution of Artificial Learning Systems |
title_full | II-Learn—A Novel Metric for Measuring the Intelligence Increase and Evolution of Artificial Learning Systems |
title_fullStr | II-Learn—A Novel Metric for Measuring the Intelligence Increase and Evolution of Artificial Learning Systems |
title_full_unstemmed | II-Learn—A Novel Metric for Measuring the Intelligence Increase and Evolution of Artificial Learning Systems |
title_short | II-Learn—A Novel Metric for Measuring the Intelligence Increase and Evolution of Artificial Learning Systems |
title_sort | ii learn a novel metric for measuring the intelligence increase and evolution of artificial learning systems |
topic | Machine learning Machine intelligence Intelligent system Evolving system Cooperative multiagent system Machine intelligence measure |
url | https://www.atlantis-press.com/article/125921810/view |
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