Soar: An Architecture for General Intelligence

Abstract

The ultimate goal of working in cognitive architecture is to provide a foundation for a system capable of general intelligent behavior. That is, the goal is to provide the underlying structure that would enable a system to perform the full range of cognitive tasks, employ the full range of problem- solving methods and representations appropriate for the tasks, and learn about all aspects of the task and its performance on them. In this article we present Soar, an implemented proposal for such an architecture. We describe its organizational principles, the system as currently implemented, and demonstrations of its capabilities. Keywords: Machine learning, Cognitive architecture.

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Document Details

Document Type
Technical Report
Publication Date
Sep 29, 1987
Accession Number
ADA205407

Entities

People

  • Allen Newell
  • John E. Laird
  • Paul Simon Rosenbloom

Organizations

  • Carnegie Mellon University

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  • Autonomy
  • Biomedical
  • C4I
  • Human Systems

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Readers

  • Neural Network Machine Learning.
  • Software Engineering.
  • Systems Analysis and Design

Technology Areas

  • AI & ML