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

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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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APA

Maruyama, Y. (2020). The conditions of artificial general intelligence: logic, autonomy, resilience, integrity, morality, emotion, embodiment, and embeddedness. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12177 LNAI, pp. 242–251). Springer. https://doi.org/10.1007/978-3-030-52152-3_25

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