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Abstract

Artificial intelligence is a set of theories and techniques that develop complex computer programs that are able to simulate certain traits of human intelligence (reasoning, learning, etc.).

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References

  1. R.L. Dreyfus, What Computers Can’t Do ?: The Limits of Artificial Intelligence (1972)

    Google Scholar 

  2. K. Godel, Thesis: Über formal unentscheidbare sätze der principia mathematica und verwandter systeme” (sur l’indécidabilité formelle des principia mathematica et de systèmes èquivalents) (1931)

    Google Scholar 

  3. R. Kurzweill, The Singularity is Near: When Humans Transcend Biology (Penguin New York, 2005)

    Google Scholar 

  4. D. Larousserie, Les cinq saisons de l’intelligence artificielle. Le Monde (2018)

    Google Scholar 

  5. C. Lexcellent, Human Memory and Material Memory (Springer, 2018)

    Google Scholar 

  6. L. Larger, M.C. Soriano, D. Brunner, L. Appeltant, J.M. Gutierrez, L.C. Pesquera, C.R. Mirasso, I. Fischer, Photonic information processing beyond turing: an optoelectronic implementation of reservoir computing. Opt. Express (2012)

    Google Scholar 

  7. J. Markoff, Machines of Loving Grace: The Quest for Common Ground Between Humans (Harper Collins Libri, 2015)

    Google Scholar 

  8. W. McCulloch, W. Pitts, A logical calculus of the ideas immanent in nervous activity. Brain Theory, 229–230 (1943)

    Google Scholar 

  9. M. Narhi, S. Salmela, J. Toivonen, C. Billet, J.M. Dudley, Genty G., Machine learning analysis of extreme events in optical fibre modulation instability. Nature Commun 9, 4923 (2018)

    Google Scholar 

  10. S. Papert, M.L. Minsky, Perceptrons: An Introduction to Computational Geometry (MIT Press, 1969)

    Google Scholar 

  11. F. Rosenblatt, The perceptron: a probabilistic model for information storage and organization in the brain. Psychol Rev 65(6) (1958)

    Google Scholar 

  12. J.R. Searle, É. Duyckaerts, Document: Esprits, cerveaux et programmes. Quaderni 1, 65–96 (1987)

    Google Scholar 

  13. J.E. Searle, Les Actes de langage, 1972, éd. Hermann, traduction de Speech Acts: An Essay in the Philosophy of Language (1969) (Hermann, 1972)

    Google Scholar 

  14. A. Turing, Computing Machinery and Intelligence (Mind, Oxford University Press, 1950), p. 59

    Google Scholar 

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Correspondence to Christian Lexcellent .

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Lexcellent, C. (2019). Artificial Intelligence. In: Artificial Intelligence versus Human Intelligence. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-21445-6_2

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  • DOI: https://doi.org/10.1007/978-3-030-21445-6_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21443-2

  • Online ISBN: 978-3-030-21445-6

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