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International Conference on Artificial General Intelligence

AGI 2011: Artificial General Intelligence pp 133–142Cite as

The LIDA Framework as a General Tool for AGI

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 6830)

Abstract

Intelligent software agents aiming for general intelligence are likely to be exceedingly complex systems and, as such, will be difficult to implement and to customize. Frameworks have been applied successfully in large-scale software engineering applications. A framework constitutes the skeleton of the application, capturing its generic functionality. Frameworks are powerful as they promote code reusability and significantly reduce the amount of effort necessary to develop customized applications. They are well suited for the implementation of AGI software agents. Here we describe the LIDA framework, a customizable implementation of the LIDA model of cognition. We argue that its characteristics make it suitable for wider use in developing AGI cognitive architectures.

Keywords

  • AGI framework
  • software framework
  • computational framework
  • cognitive architecture
  • design patterns
  • LIDA model

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  • DOI: 10.1007/978-3-642-22887-2_14
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Author information

Authors and Affiliations

  1. FedEx Institute of Technology, #403h, 365 Innovation Dr., Memphis, TN, 38152, USA

    Javier Snaider & Ryan McCall

  2. FedEx Institute of Technology, #312, 365 Innovation Dr., Memphis, TN, 38152, USA

    Stan Franklin

Authors
  1. Javier Snaider
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  2. Ryan McCall
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  3. Stan Franklin
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Editor information

Editors and Affiliations

  1. Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA), Lugano, Switzerland

    Jürgen Schmidhuber

  2. Reykjavik University, CADIA, Menntavegi 1, 101, Reykjavik, Iceland

    Kristinn R. Thórisson

  3. Google Research, 1600 Amphitheatre Parkway, Mountain View, 94043, CA, USA

    Moshe Looks

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© 2011 Springer-Verlag Berlin Heidelberg

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Snaider, J., McCall, R., Franklin, S. (2011). The LIDA Framework as a General Tool for AGI. In: Schmidhuber, J., Thórisson, K.R., Looks, M. (eds) Artificial General Intelligence. AGI 2011. Lecture Notes in Computer Science(), vol 6830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22887-2_14

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  • DOI: https://doi.org/10.1007/978-3-642-22887-2_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22886-5

  • Online ISBN: 978-3-642-22887-2

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