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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Main Authors: László Barna Iantovics, Dimitris K. Iakovidis, Elena Nechita
Format: Article
Language:English
Published: Springer 2019-11-01
Series:International Journal of Computational Intelligence Systems
Subjects:
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.
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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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