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Artificial Creativity in Linguistics Using Evolvable Fuzzy Neural Networks

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Evolvable Systems: From Biology to Hardware (ICES 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5216))

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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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References

  1. Back, T., Fogel, D., Michalewicz, Z.: Handbook of Evolutionary Computation. Oxford University Press, New York (1997)

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  2. Goldberg, D.E.: Genetic Algorithms in Search, Optimisation and Machine Learning. Addison-Wesley, Reading (1989)

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  3. Taylor, N., Taylor, J.: The neural networks for language in the brain: creating LAD. Computational models for neuroscience, pp. 245–265. Springer, London (2003)

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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

  • eBook Packages: Computer ScienceComputer Science (R0)

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