Abstract
The paper describes an application of evolvable fuzzy neural networks for artificial creativity in linguistics. The task of the creation of an English vocabulary was resolved with neural networks which have an evolvable architecture with learning capabilities as well as a fuzzy connectionist structure. The paper features a form of artificial creativity which creates words on its own using genetic algorithms, fuzzy logic methods, and multiple layer neural networks. Tests of the new method are also described.
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© 2008 Springer-Verlag Berlin Heidelberg
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Stuart, K.D., Majewski, M. (2008). Artificial Creativity in Linguistics Using Evolvable Fuzzy Neural Networks. In: Hornby, G.S., Sekanina, L., Haddow, P.C. (eds) Evolvable Systems: From Biology to Hardware. ICES 2008. Lecture Notes in Computer Science, vol 5216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85857-7_42
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DOI: https://doi.org/10.1007/978-3-540-85857-7_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85856-0
Online ISBN: 978-3-540-85857-7
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