A Cognitive Architecture Based on Dual Process Theory
Artikel i vetenskaplig tidskrift, 2013

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. Key words: cognitive architecture, dual process theory, computation, transparent neural network.


Claes Strannegård

Göteborgs universitet

Chalmers, Tillämpad informationsteknologi, Kognition och kommunikation

Rickard von Haugwitz

Göteborgs universitet

Johan Wessberg

Göteborgs universitet

Christian Balkenius

Lunds universitet

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 7999 140-149



Filosofi, etik och religion





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