Abstract
AbstractWhile algorithms have become lifelike in their capability to generate original information with large data sets and processing power, they depart from life in their parallel production of misinformation and entropic acceleration. Cell evolution on earth over billions of years has to some extent prophesied the most effective evolutionary paths of digital technology: generating original information from normalization of large number of atoms and random variation through genetic mixing in prokaryotic and eukaryotic cells. Yet, cell evolution seems to operate according to the second law of thermodynamics in which entropy defines life processes. Algorithms have so far not responded to the subversion of life through misinformation and entropic acceleration. If we were to reverse misinformation and entropic acceleration, algorithms must return to life to merge the underlying principles of life on earth with the production of original information. Biology must take precedence over mathematics in our twenty-first century metaphysical formulations and materials production.
Publisher
Springer Science and Business Media LLC
Reference6 articles.
1. Dawkins, R. (1976). The Selfish Gene. Oxford: Oxford University Press.
2. Lovelock, J.E. (1979). Gaia: A New Look at Life on Earth. Oxford: Oxford University Press.
3. Margulis, L., & Sagan, D. (1986). Microcosmos, Four Billion Years of Evolution. New York: Summit Books.
4. Schrödinger, E. (1944). What Is Life? The Physical Aspect of the Living Cell. Cambridge: Cambridge University Press.
5. Shaftesbury, Characteristics of Men, Manners, Opinions, Times. Edited by Lawrence E. Klein. Cambridge. Cambridge University Press, 2000.
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