A Causality Representation for Enriched Robot Task Domains

Citation

Hart, P. E., Nilsson, N. J., & Robinson, A. E. (1972). A causality representation for enriched robot task domains. Stanford Research Inst Menlo Park CA.

Abstract

Existing robot projects in the field of artificial intelligence have concentrated on tasks wherein the robot must excite an action in order to change the current state of its environment. In this report we consider other families of task, such as those involving the inhibition of an action or the maintenance of the current state of its environment. In particular, we propose a representation for knowledge that a robot would need if it is to solve problems from such task domains.


Read more from SRI

  • Banner and attendees at the IEEE Hard Tech Venture Summit

    Cultivating hard tech startups that scale

    IEEE’s Hard Tech Venture Summit convened innovators at SRI to refine strategies and build new networks.

  • Patient going into a MRI

    Bringing surgical tools inside the MRI

    Drawing on SRI’s unique innovation ecosystem, the startup Medical Devices Corner is seeking to improve cancer surgery by advancing MRI-safe teleoperation.

  • Christopher Mims and Susan Patrick

    PARC Forum: How to AI

    The Wall Street Journal tech columnist Christopher Mims and SRI Education’s Susan Patrick discuss how AI can strengthen human agency.