Abstract
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.
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Strannegård, C., von Haugwitz, R., Wessberg, J., Balkenius, C. (2013). A Cognitive Architecture Based on Dual Process Theory. In: Kühnberger, KU., Rudolph, S., Wang, P. (eds) Artificial General Intelligence. AGI 2013. Lecture Notes in Computer Science(), vol 7999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39521-5_15
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DOI: https://doi.org/10.1007/978-3-642-39521-5_15
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