Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
534879 | Pattern Recognition Letters | 2008 | 9 Pages |
Abstract
Since its birth, more than five decades ago, one of the biggest challenges of artificial intelligence remained the building of intelligent machines. Despite amazing advancements, we are still far from having machines that reach human intelligence level. The current paper tries to offer a possible explanation of this situation. For this purpose, we make a review of different learning strategies and context types that are involved in the learning process. We also present the results of a study on cognitive development applied to the problem of face recognition for social robotics.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
B. Raducanu, J. VitriĆ ,