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A Computational Model for Multiple Goals

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Artificial Neural Networks – ICANN 2006 (ICANN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4131))

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Abstract

The paper discusses a computational model suitable for the monitoring and execution of multiple co-existing goals inside an autonomous agent. The model uses a number of mechanisms to calculate dynamically goal priority. We provide an overview of the model, a discussion of a Cognitive Agent architecture that includes it and we provide results that support the current design. We conclude with a discussion of the results, points of interest and future work.

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References

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Computational Vision and Robotics Laboratory, Science and Technology Park of Crete, Foundation for Research and Technology – Hellas, Vassilika Vouton, P.O. Box 1385, 71110, Heraklion, Greece

    Stathis Kasderidis

Authors
  1. Stathis Kasderidis
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Editor information

Editors and Affiliations

  1. School of Electrical and Computer Engineering, Image, Video and Multimedia Systems Laboratory, National Technical University of Athens, GR-157 80, Zographou, Greece

    Stefanos D. Kollias

  2. Department of Electrical and Computer Engineering, National Technical University of Athens, 15780, Zographou, Greece

    Andreas Stafylopatis

  3. Department of Informatics, Nicolaus Copernicus University, Toruń, Poland

    Włodzisław Duch

  4. Adaptive Informatics Research Centre, Helsinki University of Technology, HUT, P.O. Box 5400, 02015, Finland

    Erkki Oja

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© 2006 Springer-Verlag Berlin Heidelberg

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Kasderidis, S. (2006). A Computational Model for Multiple Goals. In: Kollias, S.D., Stafylopatis, A., Duch, W., Oja, E. (eds) Artificial Neural Networks – ICANN 2006. ICANN 2006. Lecture Notes in Computer Science, vol 4131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840817_64

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  • DOI: https://doi.org/10.1007/11840817_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38625-4

  • Online ISBN: 978-3-540-38627-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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