Overall, we believe that explicating the nature of artificial general intelligence arguably contributes to a deeper understanding of intelligence per se.Ĭaliskan, A., et al.: Semantics derived automatically from language corpora contain human-like biases. 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. 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. 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. Still it can be significant and useful to (attempt to) elucidate the defining or possible characteristics of a fundamental concept.
There is no clearly agreed conception of intelligence, let alone artificial intelligence and artificial general intelligence. 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.
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