Massively parallel artificial intelligence

  • Authors:
  • Hiroaki Kitano;James Hendler;Tetsuya Higuchi;Dan Moldovan;David Waltz

  • Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA and NEC Corporation, Tokyo, Japan;University of Maryland;Electrotechnical Laboratory, Japan;University of Southern California;Thinking Machines Corporation and Brandeis University

  • Venue:
  • IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
  • Year:
  • 1991

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Abstract

This paper investigates the effects of parallelism on blackboard system scheduling. A parallel blackboard system is described that allows multiple knowledge source instantiations to execute in parallel using a shared-memory blackboard approach. New classes ...