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Beyond Machine Learning: Autonomous Learning
2016
Proceedings of the 8th International Joint Conference on Computational Intelligence
Recently, Machine Learning has achieved impressive results, surpassing human performances, but these powerful algorithms are still unable to define their goals by themselves or to adapt when the task changes. In short, they are not autonomous. In this paper, we explain why autonomy is an important criterion for really powerful learning algorithms. We propose a number of characteristics that make humans more autonomous than machines when they learn. Humans have a system of memories where one
doi:10.5220/0006090300970101
dblp:conf/ijcci/Alexandre16
fatcat:knsisco7yjdb5h7id6cmyihmwa