Learning to learn: From smart machines to intelligent machines

B. Raducanu, J. Vitrià

    Research output: Contribution to journalArticleResearchpeer-review

    9 Citations (Scopus)


    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 languageEnglish
    Pages (from-to)1024-1032
    JournalPattern Recognition Letters
    Issue number8
    Publication statusPublished - 1 Jun 2008


    • Cognitive development
    • Context
    • Face recognition
    • Intelligent systems
    • Social robotics

    Fingerprint Dive into the research topics of 'Learning to learn: From smart machines to intelligent machines'. Together they form a unique fingerprint.

    Cite this