Abstract
We review mathematical approaches to complex engineering problems since the 1950s including rule systems of artificial intelligence, pattern recognition, neural networks, model systems, fuzzy systems. As soon as computers become available in the 1950s, solving complex engineering problems was closely tied with understanding working of the mind. In the 1950s many scientists and engineers were sure that soon computer intelligence would far exceed that of the human mind. It did not happen. In this chapter we consider difficulties faced by algorithms and neural networks designed for modeling the mind and for solving complex problems; we analyze these difficulties and relate them to the fundamental inconsistency of logic discovered by Gödel in the 1930s.
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© 2011 Springer-Verlag Berlin Heidelberg
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Perlovsky, L., Deming, R., Ilin, R. (2011). Algorithmic Difficulties Since the 1950s. In: Emotional Cognitive Neural Algorithms with Engineering Applications. Studies in Computational Intelligence, vol 371. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22830-8_1
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DOI: https://doi.org/10.1007/978-3-642-22830-8_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22829-2
Online ISBN: 978-3-642-22830-8
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