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Computers Cannot Learn the Way Humans Do – Partly, Because They Do not Sleep

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Brain Function Assessment in Learning (BFAL 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10512))

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Abstract

One of the current frontier research themes in informatics relates to the extent to which computers and machines in general can become capable of learning and teaching each other. Hopes have been raised that their education could benefit from emulating mechanisms underlying learning in animal brains. An overview of these mechanisms will be briefly presented with a focus on the recently revealed fundamental role of sleep in memory consolidation and learning., Compared to brains, computers are found very much inferior when it comes to learning. Several road signs are suggested for enriching computers’ repertory in the direction of increasing their capacity to learn by becoming more brain-like. However, the prospect of achieving such goal with state of art technology appears extremely dim.

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Authors and Affiliations

  1. Department of Physiology, Medical School, University of Patras, Rion Achaias, Greece

    George K. Kostopoulos

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  1. George K. Kostopoulos
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Correspondence to George K. Kostopoulos .

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Editors and Affiliations

  1. University of Montreal, Montreal, Canada

    Claude Frasson

  2. University of Patras, Patras, Greece

    George Kostopoulos

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Kostopoulos, G.K. (2017). Computers Cannot Learn the Way Humans Do – Partly, Because They Do not Sleep. In: Frasson, C., Kostopoulos, G. (eds) Brain Function Assessment in Learning. BFAL 2017. Lecture Notes in Computer Science(), vol 10512. Springer, Cham. https://doi.org/10.1007/978-3-319-67615-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-67615-9_8

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  • Online ISBN: 978-3-319-67615-9

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