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Biological and Artificial Machines

  • Vít BartošEmail author
Chapter
  • 2.5k Downloads
Part of the Topics in Intelligent Engineering and Informatics book series (TIEI, volume 9)

Abstract

This article deals with the basic question of the design principles of biological entities and artificial ones expressed by Gerald Edelman’s question: “Is evolution a Turing machine?” There is a general belief asserting that the main difference between evolutionary computation and Turing model lies in the fact that biological entities become infinitely diverse (analog) and fundamentally indeterminate states. I am of the opinion that this difference is not the issue. Differentiation between products of evolution and human-formed machines lies in the physical structure of biological entities linked to the scaling of all physical levels. This architecture works as multi-domain value system whose most basic function is the categorization of events entering the field of interaction of the organism. Human thinking as a product of evolution is a prime example of this process. But those assumptions are not in conflict with another assumption which is claiming that even biological entities are in fact kinds of computational machines.

Keywords

evolution Turing machine Leibniz physical structure hierarchy logical structure value system categorization analog digital quantum scale structuring engineering approach biological approach 

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References

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of PhilosophyTechnical University of LiberecLiberecCzech Republic

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