Using Dempster-Shafer theory in knowledge representation

A. Saffiotti

Published 1990 in Conference on Uncertainty in Artificial Intelligence

ABSTRACT

In this pa�, we suggest marry ing Dempster-Shafer (DS) theory w1th Knowledge Representation (KR). Born out of this marr iage is the defmition of "Dempster-Shafer Belief Bases", abstract data types representing uncertain knowledge that use DS theory for representing strength of belief about our knowledge, and the linguistic structures of an arbitrary KR system for representing the knowledge itself. A formal result guarantees that both the properties of the given KR system and of DS theory are preserved. The general model is exemplified by defming DS Belief Bases where First Order Logic and (an extension of) KRYPTON are used as KR systems. The implementation problem is also touched upon.

PUBLICATION RECORD

  • Publication year

    1990

  • Venue

    Conference on Uncertainty in Artificial Intelligence

  • Publication date

    1990-07-27

  • Fields of study

    Mathematics, Philosophy, Computer Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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