Companion cognitive systems: a step toward human-level AI

  • Authors:
  • Kenneth D. Forbus;Thomas R. Hinrichs

  • Affiliations:
  • -;-

  • Venue:
  • AI Magazine - Special issue on achieving human-level AI through integrated systems and research
  • Year:
  • 2006

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Abstract

We are developing Companion Cognitive Systems, a new kind of software that can be effectively treated as a collaborator. Aside from their potential utility, we believe this effort is important because it focuses on three key problems that must be solved to achieve human-level AI: Robust reasoning and learning, interactivity, and longevity. We describe the ideas we are using to develop the first architecture for Companions: analogical processing, grounded in cognitive science for reasoning and learning, sketching and concept maps to improve interactivity, and a distributed agent architecture hosted on a cluster to achieve performance and longevity. We outline some results on learning by accumulating examples derived from our first experimental version.