Volume 12, Issue 2, 2019, Pages 1323 - 1338
II-Learn—A Novel Metric for Measuring the Intelligence Increase and Evolution of Artificial Learning Systems
Authors
László Barna Iantovics1, Dimitris K. Iakovidis2, Elena Nechita3, *
1Department of Electrical Engineering and Information Technology, “George Emil Palade” University of Medicine, Pharmacy, Science and Technology of Targu Mures, Gheorghe Marinescu 38, Targu Mureş, 540139, Romania
2Department of Computer Science and Biomedical Informatics, University of Thessaly, Papasiopoulou 2-4, Lamia, 35131, Greece
3Department of Mathematics and Informatics, Vasile Alecsandri University of Bacau, Calea Marasesti 157, Bacau, 600115, Romania
*Corresponding author. Email: enechita@ub.ro
Corresponding Author
Elena Nechita
Received 23 August 2018, Accepted 16 October 2019, Available Online 14 November 2019.
- DOI
- 10.2991/ijcis.d.191101.001How to use a DOI?
- Keywords
- Machine learning; Machine intelligence; Intelligent system; Evolving system; Cooperative multiagent system; Machine intelligence measure
- 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.
- Copyright
- © 2019 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - László Barna Iantovics AU - Dimitris K. Iakovidis AU - Elena Nechita PY - 2019 DA - 2019/11/14 TI - II-Learn—A Novel Metric for Measuring the Intelligence Increase and Evolution of Artificial Learning Systems JO - International Journal of Computational Intelligence Systems SP - 1323 EP - 1338 VL - 12 IS - 2 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.d.191101.001 DO - 10.2991/ijcis.d.191101.001 ID - Iantovics2019 ER -