A Cognitive Architecture Based on Dual Process Theory

  • Claes Strannegård
  • Rickard von Haugwitz
  • Johan Wessberg
  • Christian Balkenius
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7999)


This paper proposes a cognitive architecture based on Kahneman’s dual process theory [1]. The long-term memory is modeled as a transparent neural network that develops autonomously by interacting with the environment. The working memory is modeled as a buffer containing nodes of the long-term memory. Computations are defined as processes in which working memory content is transformed according to rules that are stored in the long-term memory. In this architecture, symbolic and subsymbolic reasoning steps can be combined and resource-bounded computations can be defined ranging from formal proofs to association chains.


cognitive architecture dual process theory computation transparent neural network 


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© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Claes Strannegård
    • 1
    • 2
  • Rickard von Haugwitz
    • 1
  • Johan Wessberg
    • 3
  • Christian Balkenius
    • 4
  1. 1.Department of Philosophy, Linguistics and Theory of ScienceUniversity of GothenburgSweden
  2. 2.Department of Applied Information TechnologyChalmers University of TechnologySweden
  3. 3.Institute of Neuroscience and PhysiologyUniversity of GothenburgSweden
  4. 4.Department of PhilosophyLund UniversitySweden

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