Paper Info
Title
Ii-Learn-A Novel Metric For Measuring The Intelligence Increase And Evolution Of Artificial Learning Systems
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. (C) 2019 The Authors. Published by Atlantis Press SARL.
Year
DOI
Venue
2019
10.2991/ijcis.d.191101.001
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
Keywords
DocType
Volume
Machine learning, Machine intelligence, Intelligent system, Evolving system, Cooperative multiagent system, Machine intelligence measure
Journal
12
Issue
ISSN
Citations 
2
1875-6891
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Barna Laszlo Iantovics1198.47
Dimitris K. Iakovidis200.34
Elena Nechita341.48