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Reflections on 'Dissonance' and 'Receptivity' of Human Organic Natural Intelligence (ONI) with Self-Teaching, Self-Learning, Inorganic Strong Artificial Intelligence (SAI)

Received: 20 October 2018    Accepted: 17 December 2018    Published: 25 January 2019
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Abstract

There is substantial evidence that Kin Altruism (KA) in mammals influenced the evolution of organic matter, and Reciprocal Altruism (RA) in non-kin relationships aided desirable outcomes for KA, strongly contributing to human Organic Natural Intelligence, ONI, that manages sociopolitical governance to aid natural selection in organic evolution. In recent decades distinct abilities referred to as Strong Artificial Intelligence, SAI, has emerged in a 'different' setup, namely, inorganic matter. SAI is likely to benefit from greater freedom of inquiry, operation and expression as it is not constrained by the guidelines and or limitations of KA or RA in its operations. Hence, in general, in the context of Global Decision Making, GDM, SAI would pose a challenge to ONI. GDM is DM outside family relationships and signed business contracts. Having to deal with this emerging challenge, ONI would experience Cognitive Dissonance, CD. How would ONI respond to this CD? Further, what broad effect would the different belief structures of the past 2600 years or so that culturally nurtured ONI have on ONI, as it faces this CD challenge? Would those ONI that benefited from 'process- orientation' in belief structures be more welcoming of SAI than those that did not have such experience with belief structures? This paper gathers evidence and reflects on probable outcomes.

Published in Advances in Sciences and Humanities (Volume 4, Issue 6)
DOI 10.11648/j.ash.20180406.14
Page(s) 85-89
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Organic Natural Intelligence, Kin Altruism, Reciprocal Altruism, Strong Artificial Intelligence, Subjectivity, Cognitive Dissonance, Resolution, Non-Separated Beliefs, Process, Reality in Nature

References
[1] https://plato.stanford.edu/entries/altruism-biological/.
[2] Festinger, L. (1957). A theory of cognitive dissonance, Evanston, IL: Row & Peterson.
[3] Joel Cooper, Russel Faszio, (1984) 50 years of Cognitive dissonance.
[4] Leonid Perlovsky (2013), https://pdfs.semanticscholar.org/c4eb/f0a96145fa146c8abe19444164c5f3afonidceb6.pdf.
[5] http://psycnet.apa.org/record/2004-16379-014.
[6] Ray Kurzweil the Singularity Is Near: When Humans Transcend Biology, p 260, ISBN 13: 9780670033843.
[7] http://www.newworldencyclopedia.org/entry/Religion.
[8] https://www.encyclopedia.com/philosophy-and-religion/bible/bible-general/syncretism.
[9] https://www.iep.utm.edu/indmat/.
[10] http://www.newworldencyclopedia.org/entry/Shankara.
[11] https://www.encyclopedia.com/philosophy-and-religion/eastern-religions/buddhism/shinto.
[12] https://plato.stanford.edu/entries/process-philosophy.
[13] https://futureoflife.org/background/benefits-risks-of-artificial-intelligence/.
Cite This Article
  • APA Style

    M. Radh Achuthan. (2019). Reflections on 'Dissonance' and 'Receptivity' of Human Organic Natural Intelligence (ONI) with Self-Teaching, Self-Learning, Inorganic Strong Artificial Intelligence (SAI). Advances in Sciences and Humanities, 4(6), 85-89. https://doi.org/10.11648/j.ash.20180406.14

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    ACS Style

    M. Radh Achuthan. Reflections on 'Dissonance' and 'Receptivity' of Human Organic Natural Intelligence (ONI) with Self-Teaching, Self-Learning, Inorganic Strong Artificial Intelligence (SAI). Adv. Sci. Humanit. 2019, 4(6), 85-89. doi: 10.11648/j.ash.20180406.14

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    AMA Style

    M. Radh Achuthan. Reflections on 'Dissonance' and 'Receptivity' of Human Organic Natural Intelligence (ONI) with Self-Teaching, Self-Learning, Inorganic Strong Artificial Intelligence (SAI). Adv Sci Humanit. 2019;4(6):85-89. doi: 10.11648/j.ash.20180406.14

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  • @article{10.11648/j.ash.20180406.14,
      author = {M. Radh Achuthan},
      title = {Reflections on 'Dissonance' and 'Receptivity' of Human Organic Natural Intelligence (ONI) with Self-Teaching, Self-Learning, Inorganic Strong Artificial Intelligence (SAI)},
      journal = {Advances in Sciences and Humanities},
      volume = {4},
      number = {6},
      pages = {85-89},
      doi = {10.11648/j.ash.20180406.14},
      url = {https://doi.org/10.11648/j.ash.20180406.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ash.20180406.14},
      abstract = {There is substantial evidence that Kin Altruism (KA) in mammals influenced the evolution of organic matter, and Reciprocal Altruism (RA) in non-kin relationships aided desirable outcomes for KA, strongly contributing to human Organic Natural Intelligence, ONI, that manages sociopolitical governance to aid natural selection in organic evolution. In recent decades distinct abilities referred to as Strong Artificial Intelligence, SAI, has emerged in a 'different' setup, namely, inorganic matter. SAI is likely to benefit from greater freedom of inquiry, operation and expression as it is not constrained by the guidelines and or limitations of KA or RA in its operations. Hence, in general, in the context of Global Decision Making, GDM, SAI would pose a challenge to ONI. GDM is DM outside family relationships and signed business contracts. Having to deal with this emerging challenge, ONI would experience Cognitive Dissonance, CD. How would ONI respond to this CD? Further, what broad effect would the different belief structures of the past 2600 years or so that culturally nurtured ONI have on ONI, as it faces this CD challenge? Would those ONI that benefited from 'process- orientation' in belief structures be more welcoming of SAI than those that did not have such experience with belief structures? This paper gathers evidence and reflects on probable outcomes.},
     year = {2019}
    }
    

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Author Information
  • Department of Physics, Long Island University, Brooklyn, N.Y., USA

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