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Simulating Cognitive Phenomena with a Symbolic Dynamical System

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Book cover Advances in Artificial Intelligence (Canadian AI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6657))

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Abstract

We present a new tool: symbolic dynamical approach to the simulation of cognitive processes. Complex Auto-Adaptive System is a symbolic dynamical system implemented in a multi-agent system. We describe our methodology and prove our claims by presenting simulation experiments of the Stroop and Wason tasks. We then explain our research plan: the integration of an emotion model in our system, the implementation of a higher-level control organization, and the study of its application to cognitive agents in general.

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References

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Author information

Authors and Affiliations

  1. GDAC Research Laboratory - Computer Science Department, Université du Québec à Montréal C.P. 8888, succursale Centre-ville, Montréal, QC, H3C 3P8, Canada

    Othalia Larue

Authors
  1. Othalia Larue
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina, 3737 Wascana Parkway, Regina, S4S 0A2, Saskatchewan, Canada

    Cory Butz

  2. Department of Mathematics and Computing Science, Saint Mary’s University, B3H 3C3, Halifax, Nova Scotia, Canada

    Pawan Lingras

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© 2011 Springer-Verlag Berlin Heidelberg

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Larue, O. (2011). Simulating Cognitive Phenomena with a Symbolic Dynamical System. In: Butz, C., Lingras, P. (eds) Advances in Artificial Intelligence. Canadian AI 2011. Lecture Notes in Computer Science(), vol 6657. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21043-3_32

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  • DOI: https://doi.org/10.1007/978-3-642-21043-3_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21042-6

  • Online ISBN: 978-3-642-21043-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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