II-learn—a novel metric for measuring the intelligence increase and evolution of artificial learning systems

dc.creator	Iantovics L.B., Iakovidis D.K., Nechita E.	en
dc.date.accessioned	2023-01-31T08:28:19Z
dc.date.available	2023-01-31T08:28:19Z
dc.date.issued	2019
dc.identifier	10.2991/ijcis.d.191101.001
dc.identifier.issn	18756891
dc.identifier.uri	http://hdl.handle.net/11615/73997
dc.description.abstract	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. © 2019 The Authors. Published by Atlantis Press SARL.	en
dc.language.iso	en	en
dc.source	International Journal of Computational Intelligence Systems	en
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078316337&doi=10.2991%2fijcis.d.191101.001&partnerID=40&md5=c96c7b7c0c6e9b3a77125bf1cb5f8073
dc.subject	Intelligent systems	en
dc.subject	Multi agent systems	en
dc.subject	Artificial learning	en
dc.subject	Cooperative multiagent systems	en
dc.subject	Evolving systems	en
dc.subject	Learning process	en
dc.subject	Machine intelligence	en
dc.subject	Learning systems	en
dc.subject	Atlantis Press	en
dc.title	II-learn—a novel metric for measuring the intelligence increase and evolution of artificial learning systems	en
dc.type	journalArticle	en

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