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The Conditions of Artificial General Intelligence: Logic, Autonomy, Resilience, Integrity, Morality, Emotion, Embodiment, and Embeddedness

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Artificial General Intelligence (AGI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12177))

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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.

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Acknowledgements

The author would like to thank his colleagues for comments and suggestions for improvement on this work. The author hereby acknowledges that this work was financially supported by JST PRESTO (grant code: JPMJPR17G9) and JSPS KAKENHI (grant code: 17K14231).

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Authors and Affiliations

  1. Research School of Computer Science, The Australian National University, Canberra, Australia

    Yoshihiro Maruyama

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  1. Yoshihiro Maruyama
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Correspondence to Yoshihiro Maruyama .

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Editors and Affiliations

  1. SingularityNET Foundation, Amsterdam, The Netherlands

    Ben Goertzel

  2. Moscow Institute of Physics and Technology, Dolgoprudny, Russia

    Aleksandr I. Panov

  3. SingularityNET Foundation, Amsterdam, The Netherlands

    Alexey Potapov

  4. University of Louisville, Louisville, KY, USA

    Roman Yampolskiy

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Maruyama, Y. (2020). The Conditions of Artificial General Intelligence: Logic, Autonomy, Resilience, Integrity, Morality, Emotion, Embodiment, and Embeddedness. In: Goertzel, B., Panov, A., Potapov, A., Yampolskiy, R. (eds) Artificial General Intelligence. AGI 2020. Lecture Notes in Computer Science(), vol 12177. Springer, Cham. https://doi.org/10.1007/978-3-030-52152-3_25

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  • DOI: https://doi.org/10.1007/978-3-030-52152-3_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-52151-6

  • Online ISBN: 978-3-030-52152-3

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