Extending the Soar Cognitive Architecture

  • Authors:
  • John E. Laird

  • Affiliations:
  • Division of Computer Science and Engineering, University of Michigan

  • Venue:
  • Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
  • Year:
  • 2008

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Abstract

One approach in pursuit of general intelligent agents has been to concentrate on the underlying cognitive architecture, of which Soar is a prime example. In the past, Soar has relied on a minimal number of architectural modules together with purely symbolic representations of knowledge. This paper presents the cognitive architecture approach to general intelligence and the traditional, symbolic Soar architecture. This is followed by major additions to Soar: non-symbolic representations, new learning mechanisms, and long-term memories.