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Journal of Artificial General Intelligence

The Journal of the Artificial General Intelligence Society


Open Access

    Open Access
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    Aims and Scope

    Journal of Artificial General Intelligence (JAGI) is a peer-reviewed open-access academic journal, owned by the Artificial General Intelligence Society (AGIS).

    Artificial General Intelligence (AGI) is an emerging field aiming at the building of "thinking machines", that is, general-purpose systems with intelligence comparable to that of the human mind. While this was the original goal of Artificial Intelligence (AI), the mainstream of AI research has turned toward domain-dependent and problem-specific solutions; therefore it has become necessary to use a new name to indicate research that still pursues the "Grand AI Dream". Similar labels for this kind of research include "Strong AI", "Human-level AI", etc.

    The problems involved in creating general-purpose intelligent systems are very different from those involved in creating special-purpose systems. Therefore, this journal is different from conventional AI journals in its stress on the long-term potential of  research towards the ultimate goal of AGI, rather than  immediate applications. Articles focused on details of AGI systems are welcome, if they clearly indicate the relation between the special topics considered and intelligence as a whole, by addressing the generality, extensibility, and scalability of the techniques proposed or discussed.

    Since AGI research is still in its early stage, the journal strongly encourages novel approaches coming from various theoretical and technical traditions, including (but not limited to) symbolic, connectionist, statistical, evolutionary, robotic and information-theoretic, as well as integrative and hybrid approaches.

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    Type of Publication:

    Submission of Manuscripts

    Instructions for Authors

    JAGI is an Open Access journal, with articles distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

    For detailed author information, visit the submission website of JAGI.

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    Abstracting & Indexing

    Journal of Artificial General Intelligence is covered by the following services:

    • Baidu Scholar
    • Cabell's Directory
    • Celdes
    • CNKI Scholar (China National Knowledge Infrastructure)
    • CNPIEC
    • EBSCO (relevant databases)
    • EBSCO Discovery Service
    • Google Scholar
    • Inspec
    • J-Gate
    • JournalTOCs
    • KESLI-NDSL (Korean National Discovery for Science Leaders)
    • Naviga (Softweco)
    • Primo Central (ExLibris)
    • ProQuest (relevant databases)
    • ReadCube
    • ResearchGate
    • Sherpa/RoMEO
    • Summon (Serials Solutions/ProQuest)
    • TDNet
    • Ulrich's Periodicals Directory/ulrichsweb
    • WanFang Data
    • WorldCat (OCLC)

    Editorial Information

    Chief Executive Editor
    Pei Wang, Temple University, USA

    Executive Editors
    Ben Goertzel, Novamente LLC, USA
    Kai-Uwe Kühnberger, University of Osnabrück, Germany

    Tsvi Achler, ITOP CORP / Optimizing Mind, USA
    Joscha Bach, Massachusetts Institute of Technology, USA
    Haris Dindo, Yewno Inc., USA
    Wlodzislaw Duch, Nicolaus Copernicus University, Poland
    Stan Franklin, University of Memphis, USA
    Jose Hernandez-Orallo, Universitat Politecnica de Valencia, Spain
    Pascal Hitzler, Wright State University, USA
    Marcus Hutter, Australian National University, Australia
    Randal Koene, Carboncopies.org, USA
    Christian Lebiere, Carnegie Mellon University, USA
    Moshe Looks, Google Inc., USA
    Jim Marshall, Sarah Lawrence College, USA
    Laurent Orseau, Google DeepMind, UK
    Giovanni Pezzulo, Institute of Cognitive Sciences and Technologies, Italy
    Florin Popescu, Fraunhofer Institute FIRST, Germany
    Brandon Rohrer, Microsoft, USA
    Paul Rosenbloom, University of Southern California, USA
    Ute Schmid, Bamberg University, Germany
    Jürgen Schmidhuber, Dalle Molle Institute for AI, Switzerland
    Daniel Silver, Acadia University, Canada
    Leslie Smith, University of Stirling, UK
    Claes Strannegård, University of Gothenburg, Sweden
    Kristinn Thorisson, Reykjavik University, Iceland
    Mary-Anne Williams, The University of Technology, Sydney, Australia


    Pei Wang

    Bogumiła Zuga 32A Str.
    01-811 Warsaw, Poland
    T: +48 22 701 50 15

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