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Morphological, Natural, Analog, and Other Unconventional Forms of Computing for Cognition and Intelligence
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Intelligent Computing: Oxymoron?

Global Learning Center, Tohoku University, Sendai 980-8576, Japan
Conference Morphological, Natural, Analog and Other Unconventional Forms of Computing for Cognition and Intelligence, Berkeley, CA, USA, 2–6 June 2019.
Proceedings 2020, 47(1), 31; https://doi.org/10.3390/proceedings47010031
Published: 7 May 2020
(This article belongs to the Proceedings of IS4SI 2019 Summit)
The present paper is intended as a defense of the view that whatever makes AI so useful and successful in competition with humans, it does not have to be intelligence, at least as we use this term in the human context. After all, the question of qualification for human beings to be considered intelligent does not have a definite answer. There is not even a common agreement on whether we can identify criteria for one (general or unified) intelligence or whether we should rather consider multiple intelligences. Thus, our discussion is focusing not on a complete definition of intelligence, but only on its necessary conditions, and not on computing artefacts, but on the process of computing in its Turing Machine model. Are there any features of computing which are in contradiction with the idea of intelligence? This is the reason why the title of this paper is formulated in a negative way, with the question of whether intelligent computing is an oxymoron.
Keywords: artificial intelligence; intelligence; multiple intelligences; information integration; complexity; reduction of complexity artificial intelligence; intelligence; multiple intelligences; information integration; complexity; reduction of complexity
MDPI and ACS Style

Schroeder, M.J. Intelligent Computing: Oxymoron? Proceedings 2020, 47, 31.

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