Learning to learn: From smart machines to intelligent machines

B. Raducanu; J. Vitrià

doi:10.1016/j.patrec.2007.09.003

Learning to learn: From smart machines to intelligent machines

B. Raducanu, J. Vitrià

Research output: Contribution to journal › Article › Research › peer-review

9 Citations (Scopus)

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. © 2007 Elsevier B.V. All rights reserved.

Original language	English
Pages (from-to)	1024-1032
Journal	Pattern Recognition Letters
Volume	29
Issue number	8
DOIs	https://doi.org/10.1016/j.patrec.2007.09.003
Publication status	Published - 1 Jun 2008

Keywords

Cognitive development
Context
Face recognition
Intelligent systems
Social robotics

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10.1016/j.patrec.2007.09.003

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KW - Context

KW - Face recognition

KW - Intelligent systems

KW - Social robotics

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Learning to learn: From smart machines to intelligent machines

Abstract

Keywords

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