40 years of cognitive architectures: core cognitive abilities and practical applications

  title={40 years of cognitive architectures: core cognitive abilities and practical applications},
  author={Iuliia Kotseruba and John K. Tsotsos},
  journal={Artificial Intelligence Review},
In this paper we present a broad overview of the last 40 years of research on cognitive architectures. [] Key Method We use various visualization techniques to highlight the overall trends in the development of the field. In addition to summarizing the current state-of-the-art in the cognitive architecture research, this survey describes a variety of methods and ideas that have been tried and their relative success in modeling human cognitive abilities, as well as which aspects of cognitive behavior need…
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  • 1992
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  • 2012
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  • 2007
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