Artificial Creativity in Linguistics Using Evolvable Fuzzy Neural Networks

  • Authors:
  • Keith Douglas Stuart;Maciej Majewski

  • Affiliations:
  • Department of Applied Linguistics, Polytechnic University of Valencia, Valencia, Spain 46022;Faculty of Mechanical Engineering, Koszalin University of Technology, Koszalin, Poland

  • Venue:
  • ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
  • Year:
  • 2008

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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.