Abstract
The paper summarizes definitions of (artificial) intelligence in three kinds of disciplines, which are (1) anthropology as well as relevant fields of biology, psychology and cognitive science on intelligence, (2) philosophy, and (3) artificial intelligence theories. It tries to generalize the definitions of intelligence in the three disciplines, giving universally formal models of (artificial) intelligence to represent adaptability upon environment proposed in (1), and rational mind proposed in (2), and Turing machines embodying general recursion functions proposed in (3). The core function of (artificial) intelligence is specified as selectivity which covers the essential functions over the three kinds of representations of (artificial) intelligence, and coheres the biological, logical and mechanical natures. In summary, it formally proposes that (artificial) intelligence is just the selectivity, which represents and implements (artificial) intentionality based on environmental knowledge.
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Some results in the paper are cited from the author’s doctoral thesis.The author is full of gratitude to the tuition of Prof. LIU, Dachun.
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Zhang, Y. (2022). Selectivity: The Essence of Natural and Artificial Intelligence. In: Kahraman, C., Tolga, A.C., Cevik Onar, S., Cebi, S., Oztaysi, B., Sari, I.U. (eds) Intelligent and Fuzzy Systems. INFUS 2022. Lecture Notes in Networks and Systems, vol 504. Springer, Cham. https://doi.org/10.1007/978-3-031-09173-5_107
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