Integrated cognitive architectures: a survey

  • Authors:
  • Hui-Qing Chong;Ah-Hwee Tan;Gee-Wah Ng

  • Affiliations:
  • School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, Singapore 639798;School of Computer Engineering, Nanyang Technological University, Singapore, Singapore 639798;DSO National Laboratories, Singapore, Singapore 118230

  • Venue:
  • Artificial Intelligence Review
  • Year:
  • 2007

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Abstract

This article aims to present an account of the state of the art research in the field of integrated cognitive architectures by providing a review of six cognitive architectures, namely Soar, ACT-R, ICARUS, BDI, the subsumption architecture and CLARION. We conduct a detailed functional comparison by looking at a wide range of cognitive components, including perception, memory, goal representation, planning, problem solving, reasoning, learning, and relevance to neurobiology. In addition, we study the range of benchmarks and applications that these architectures have been applied to. Although no single cognitive architecture has provided a full solution with the level of human intelligence, important design principles have emerged, pointing to promising directions towards generic and scalable architectures with close analogy to human brains.