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The Challenges of Building Computational Cognitive Architectures

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Challenges for Computational Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 63))

Summary

The work in the area of computational cognitive modeling explores the essence of cognition through developing detailed understanding of cognition by specifying computational models. In this enterprise, a cognitive architecture is a domain-generic computational cognitive model that may be used for a broad, multiple-domain analysis of cognition. It embodies generic descriptions of cognition in computer algorithms and programs. Building cognitive architectures is a difficult task and a serious challenge to the fields of cognitive science, artificial intelligence, and computational intelligence. In this article, discussions of issues and challenges in developing cognitive architectures will be undertaken, examples of cognitive architectures will be given, and future directions will be outlined.

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Author information

Authors and Affiliations

  1. Rensselaer Polytechnic Institute, Troy, New York, NY, USA

    Ron Sun

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  1. Ron Sun
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Editor information

Editors and Affiliations

  1. Department of Informatics, Nicolaus Copernicus University, Ul. Grudziadzka 5, 87-100, Torun, Poland

    Włodzisław Duch

  2. Division of Computer Science, School of Computer Engineering, Nanyang Technological University, 639798, Singapore

    Włodzisław Duch

  3. Faculty of Mathematics and Information Sciences, Warsaw University of Technology, Plac Politechniki 1, 00-661, Warsaw, Poland

    Jacek Mańdziuk

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Sun, R. (2007). The Challenges of Building Computational Cognitive Architectures. In: Duch, W., Mańdziuk, J. (eds) Challenges for Computational Intelligence. Studies in Computational Intelligence, vol 63. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71984-7_3

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  • DOI: https://doi.org/10.1007/978-3-540-71984-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71983-0

  • Online ISBN: 978-3-540-71984-7

  • eBook Packages: EngineeringEngineering (R0)

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