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.
Using Dempster-Shafer theory in knowledge representation
Published 1990 in Conference on Uncertainty in Artificial Intelligence
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- Publication year
1990
- Venue
Conference on Uncertainty in Artificial Intelligence
- Publication date
1990-07-27
- Fields of study
Mathematics, Philosophy, Computer Science
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