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An ASSOM neural network to represent actions performed by an autonomous agent

  • Part V: Robotics, Adaptive Autonomous Agents, and Control
  • Conference paper
  • First Online:
Artificial Neural Networks — ICANN'97 (ICANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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Abstract

An ASSOM neural network to describe the action performed by an autonomous reactive agent is proposed. The neural network receives in input the sequences of data acquired by the agent internal sensors and it classifies them by generating the corresponding symbolic assertions. Experimental results performed on a RWI B12 autonomous robot are reported.

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Author information

Authors and Affiliations

  1. Dept. of Electrical Engineering, University of Palermo, Viale delle Scienze, 90128, Palermo, Italy

    A. Chella, S. Gaglio, V. Mulia & G. Sajeva

Authors
  1. A. Chella
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  2. S. Gaglio
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  3. V. Mulia
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  4. G. Sajeva
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Editor information

Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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© 1997 Springer-Verlag Berlin Heidelberg

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Chella, A., Gaglio, S., Mulia, V., Sajeva, G. (1997). An ASSOM neural network to represent actions performed by an autonomous agent. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020252

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  • DOI: https://doi.org/10.1007/BFb0020252

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

  • eBook Packages: Springer Book Archive

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