Cognitive architectures: Research issues and challenges

  • Authors:
  • Pat Langley;John E. Laird;Seth Rogers

  • Affiliations:
  • Computational Learning Laboratory, Center for the Study of Language and Information, Stanford University, Stanford, CA 94305, USA;EECS Department, The University of Michigan, 1101 Beal Avenue, Ann Arbor, MI 48109, USA;Computational Learning Laboratory, Center for the Study of Language and Information, Stanford University, Stanford, CA 94305, USA

  • Venue:
  • Cognitive Systems Research
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we examine the motivations for research on cognitive architectures and review some candidates that have been explored in the literature. After this, we consider the capabilities that a cognitive architecture should support, some properties that it should exhibit related to representation, organization, performance, and learning, and some criteria for evaluating such architectures at the systems level. In closing, we discuss some open issues that should drive future research in this important area.