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Creativity of Neural Networks

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Artificial Intelligence and Soft Computing – ICAISC 2006 (ICAISC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4029))

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Abstract

In the paper the ability of neural networks in creativity is tested. The creation of new words was chosen as an example task of creativity. Three different approaches based on the neural networks were designed and implemented to perform experiments. From all concerned solutions the best results was produced by the recurrent neural network.

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References

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Author information

Authors and Affiliations

  1. Wroclaw University of Technology, Poland

    Urszula Markowska-Kaczmar & Katarzyna Czeczot

Authors
  1. Urszula Markowska-Kaczmar
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  2. Katarzyna Czeczot
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Department of Electrical Engineering and Computer Sciences, Berkeley Initiative in Soft Computing (BISC), University of California, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Żurada

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© 2006 Springer-Verlag Berlin Heidelberg

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Markowska-Kaczmar, U., Czeczot, K. (2006). Creativity of Neural Networks. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_10

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  • DOI: https://doi.org/10.1007/11785231_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35748-3

  • Online ISBN: 978-3-540-35750-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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