Abstract
Last twenty years, many people wanted to improve AI systems by making computer models more faithful to the reality. This paper shows that this tendency has no real justification, because it does not solve the observed limitations of AI. It proposes another view that is to extend the notion of “Sciences of the Artificial”, which has been introduced by Herbert Simon, into to a new “Science of the Culture”. After an introduction and a description of some of the causes of the present AI limitations, the paper recalls what the “Sciences of the Artificial” are and presents the “Sciences of the Culture”. The last part explains the possible consequences of such an extension of AI.
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References
Hutter, M.: Universal Artificial Intelligence: sequential Decisions Based on Algorithmic Probabilities. Springer, Heidelberg (2005)
Simon, H.A.: The Sciences of the Artificial, 3rd edn. MIT Press, Cambridge (1996)
Newell, A.: The knowledge level. Artificial Intelligence Journal 18, 87–127 (1982)
Shapiro, D., Goker, M.: Advancing ai research and applications by learning from what went wrong and why. AI Magazine 29(2), 9–76 (2008)
Hatchuel, A., Weil, B.: Experts in Organizations: A Knowledge-Based Perspective on Organizational Change. Walter de Gruyter, Berlin (1995)
Moravec, H.: Mind Children. Harvard University Press, Cambridge (1988)
Brooks, R.: Flesh and Machines: How Robots Will Change Us. Pantheon Books, New York (2002)
Manzotti, R.: Towards artificial consciousness. American Philosophy Association Newsletter on Philosophy and Computers 07(1), 12–15 (2007)
Chaitin, G.: Epistemology as information theory. COLLAPSE 1, 27–51 (2006)
Dodig-Crnkovic, G.: Epistemology naturalized: The info-computationalist approach. American Philosophy Association Newsletter on Philosophy and Computers 06(2) (2007)
Rickert, H.: Kulturwissenschaft und Naturwissenschaft, 5th edn. J.C.B. Mohr (Paul Siebeck), Tubingen (1921)
Cassirer, E.: Substance and Function. Open Court, Chicago (1923)
Hutchins, E.: Cognition in the Wild. MIT Press, Cambridge (1995)
Rolland, P.Y., Ganascia, J.G.: Pattern detection and discovery: The case of music data mining. In: Hand, D.J., Adams, N.M., Bolton, R.J. (eds.) Pattern Detection and Discovery. LNCS (LNAI), vol. 2447, pp. 190–198. Springer, Heidelberg (2002)
Ganascia, J.G., Debru, C.: Cybernard: A computational reconstruction of claude bernard’s scientific discoveries. In: Studies in Computational Intelligence (SCI), pp. 497–510. Springer, Heidelberg (2007)
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Ganascia, JG. (2009). AI Viewed as a “Science of the Culture”. In: Mertsching, B., Hund, M., Aziz, Z. (eds) KI 2009: Advances in Artificial Intelligence. KI 2009. Lecture Notes in Computer Science(), vol 5803. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04617-9_47
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DOI: https://doi.org/10.1007/978-3-642-04617-9_47
Publisher Name: Springer, Berlin, Heidelberg
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