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Towards General Evaluation of Intelligent Systems: Lessons Learned from Reproducing AIQ Test Results

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F18%3A00051927" target="_blank" >RIV/61384399:31140/18:00051927 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.degruyter.com/downloadpdf/j/jagi.2018.9.issue-1/jagi-2018-0001/jagi-2018-0001.pdf" target="_blank" >https://www.degruyter.com/downloadpdf/j/jagi.2018.9.issue-1/jagi-2018-0001/jagi-2018-0001.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2478/jagi-2018-0001" target="_blank" >10.2478/jagi-2018-0001</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Towards General Evaluation of Intelligent Systems: Lessons Learned from Reproducing AIQ Test Results

  • Original language description

    Main topics of the document: artificial general intelligence; evaluating intelligence of artificial systems; Universal Intelligence definition; Algorithmic Intelligence quotient test

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Artificial General Intelligence

  • ISSN

    1946-0163

  • e-ISSN

    1946-0163

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    PL - POLAND

  • Number of pages

    54

  • Pages from-to

    1-54

  • UT code for WoS article

  • EID of the result in the Scopus database