Decision-making in an embedded reasoning system

  • Authors:
  • Michael P. Georgeff;Francois Felix Ingrand

  • Affiliations:
  • Australian AI Institute, Carlton, Victoria, Australia;Artificial Intelligence Center, SRI International, Menlo Park, California

  • Venue:
  • IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
  • Year:
  • 1989

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Abstract

The development of reasoning systems that can reason and plan in a continuously changing environment is emerging as an important area of research in Artificial Intelligence. This paper describes some of the features of a Procedural Reasoning System (PRS) that enables it to operate effectively in such environments. The basic system design is first described and it is shown how this architecture supports both goal-directed reasoning and the ability to react rapidly to unanticipated changes in the environment. The decision-making capabilities of the system are then discussed and it is indicated how the system integrates these components in a manner that takes account of the bounds on both resources and knowledge that typify most real-time operations. The system has been applied to handling malfunctions on the space shuttle, threat assessment, and the control of an autonomous robot.