Using multi-agent systems to represent uncertainty

  • Authors:

  • Joseph Y. Halpern

  • Affiliations:

  • IBM Almaden Research Center, San Jose, CA

  • Venue:
  • AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
  • Year:
  • 1996

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Abstract

I consider a logical framework for modeling uncertainty, based on the use of possible worlds, that incorporates knowledge, probability, and time. This turns out to be a powerful approach for modeling many problems of interest. I show how it can be used to give insights into (among other things) several wellknown puzzles.