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2020 | OriginalPaper | Chapter

10. From Natural and Artificial Intelligence to Superintelligence?

Author : Klaus Mainzer

Published in: Artificial intelligence - When do machines take over?

Publisher: Springer Berlin Heidelberg

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Abstract

Classical AI research is based on the capabilities of a program-controlled computer which, according to Church’s thesis, is in principle equivalent to a Turing machine. According to Moore’s law, gigantic computing and storage capacities have thus been achieved, which only made possible the AI services of the WATSON supercomputer (cf. Sect. 5.2). But, the power of supercomputers has a price that the energy of a small town can match. All the more impressive are the human brains that realize the power of WATSON (e.g., speak and understand a natural language) with the energy consumption of an incandescent lamp. By then, at the latest, one is impressed by the efficiency of neuromorphic systems that have evolved in evolution. Is there a common principle underlying these evolutionary systems that we can use in AI?
Biomolecules, cells, organs, organisms, and populations are highly complex dynamic systems in which many elements interact. Complexity research in physics, chemistry, biology, and ecology deals with the question of how the interactions of many elements of a complex dynamic system (e.g., atoms in materials, biomolecules in cells, cells in organisms, organisms in populations) can lead to orders and structures, but also to chaos and decay.

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Metadata
Title
From Natural and Artificial Intelligence to Superintelligence?
Author
Klaus Mainzer
Copyright Year
2020
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-59717-0_10

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