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Other publication in scientific journal - Peer-reviewed, 2020

Review for Cognitive Systems Research of the book The Brain and AI, by authors Karl Schlagenhauf and Fanji Gu

Liljenstrom, Hans

Abstract

The human brain is often considered the most complex system known. It has a fantastic capacity to learn and remember, to recognize patterns in space and time, solve problems of all kinds, innovate tools and machines, create beautiful art and science. Is it reasonable to believe that we, in a foreseeable future, will be able to understand all the wonders of our own brain, enough to be able to mimic it and build artificial brains and minds that correspond to or even surpass the capacity of the human origin? Can we seriously believe that we (soon, or ever) will be able to build robots that know of and can reflect upon their own existence?This review of the book, The Brain and AI, deals with such issues, but in a very special way. It is written as a fascinating dialogue between the two authors, Chinese scientist Fanji Gu and German engineer Karl Schlagenhauf, where they discuss the development of neuroscience and artificial intelligence (AI) with a critical examination of given "truths" in these fields. The Brain and AI is indeed worth reading for many reasons, regardless if you are a student or researcher in any of the many fields of science discussed here (e.g. physics, computer science, neuroscience, cognitive science psychology, social science), or if you are just interested in the current and future development of brain research and artificial intelligence. The book is both educating and entertaining and can be strongly recommended. (C) 2020 The Author. Published by Elsevier B.V.

Keywords

Review; Neuroscience; Artificial intelligence; Human Brain Project; Consciousness; Free Will

Published in

Cognitive Systems Research
2020, Volume: 64, pages: 29-36
Publisher: ELSEVIER

    UKÄ Subject classification

    Neurosciences
    Computer Science

    Publication identifier

    DOI: https://doi.org/10.1016/j.cogsys.2020.07.002

    Permanent link to this page (URI)

    https://res.slu.se/id/publ/108408