The conditions of artificial general intelligence: logic, autonomy, resilience, integrity, morality, emotion, embodiment, and embeddedness

Yoshihiro Maruyama*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    14 Citations (Scopus)

    Abstract

    There are different difficulties in defining a fundamental concept; it often happens that some conditions are too strong or just surplus, and others are too weak or just lacking. There is no clearly agreed conception of intelligence, let alone artificial intelligence and artificial general intelligence. Still it can be significant and useful to (attempt to) elucidate the defining or possible characteristics of a fundamental concept. In the present paper we discuss the conditions of artificial general intelligence, some of which may be too strong and others of which may be too weak. Among other things, we focus upon logic, autonomy, resilience, integrity, morality, emotion, embodiment, and embeddedness, and articulate the nature of them from different conceptual points of view. And we finally discuss how to test artificial general intelligence, proposing a new kind of Turing-type tests based upon the intelligence-for-survival view. Overall, we believe that explicating the nature of artificial general intelligence arguably contributes to a deeper understanding of intelligence per se.

    Original languageEnglish
    Title of host publicationArtificial General Intelligence - 13th International Conference, AGI 2020, Proceedings
    EditorsBen Goertzel, Alexey Potapov, Aleksandr I. Panov, Roman Yampolskiy
    PublisherSpringer
    Pages242-251
    Number of pages10
    ISBN (Print)9783030521516
    DOIs
    Publication statusPublished - 2020
    Event13th International Conference on Artificial General Intelligence, AGI 2020 - St. Petersburg, Russian Federation
    Duration: 16 Sept 202019 Sept 2020

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume12177 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference13th International Conference on Artificial General Intelligence, AGI 2020
    Country/TerritoryRussian Federation
    CitySt. Petersburg
    Period16/09/2019/09/20

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