A Valuation-Based Architecture for Assumption-Based Reasoning
Rolf Haenni
Additional contact information
Rolf Haenni: University of Fribourg, Institute of Informatics
A chapter in Mathematical Models for Handling Partial Knowledge in Artificial Intelligence, 1995, pp 255-257 from Springer
Abstract:
Abstract Starting from assumption-based propositional knowledge bases, a symbolic evidence theory3 can be developed. This theory is the qualitative equivalent of the well known numerical Dempster-Shafer theory of evidence5. Given a propositional knowledge base and some additional facts or observations, the problem is to compute the quasi-supports, the contradictions and the supports in a symbolic form for one or a few hypotheses. The main advantage of this approach is that symbolic supports are pure arguments in favour or against certain hypotheses and they can be transformed into linguistic explanations.
Date: 1995
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4899-1424-8_16
Ordering information: This item can be ordered from
http://www.springer.com/9781489914248
DOI: 10.1007/978-1-4899-1424-8_16
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().