Publication:
The Road to General Intelligence

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datacite.subject.fos oecd::Engineering and technology
dc.contributor.author Jerry Swan, Eric Nivel, Neel Kant, Jules Hedges, Timothy Atkinson, Bas Steunebrink
dc.date.accessioned 2023-06-17T01:19:53Z
dc.date.available 2023-06-17T01:19:53Z
dc.date.issued 2022
dc.description DOI: https://doi.org/10.1007/978-3-031-08020-3 License: CC BY; Publisher: Springer
dc.description.abstract The book includes an extensive bibliography, with ~400 entries covering the history of AI and many related areas of computer science and mathematics.The target audience is the entire gamut of Artificial Intelligence/Machine Learning researchers and industrial practitioners. There are a mixture of descriptive and rigorous sections, according to the nature of the topic. Undergraduate mathematics is in general sufficient. Familiarity with category theory is advantageous for a complete understanding of the more advanced sections, but these may be skipped by the reader who desires an overall picture of the essential concepts This work is licensed under a CC BY
dc.identifier.doi https://doi.org/10.1007/978-3-031-08020-3
dc.identifier.isbn 9783031080203
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/5530
dc.language.iso en
dc.subject "Computational Intelligence
dc.subject Artificial Intelligence
dc.subject Machine Learning
dc.subject General Intelligence
dc.subject AI
dc.subject Open Access."
dc.title The Road to General Intelligence
dc.type Resource Types::text::book
dspace.entity.type Publication
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
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