Probabilistic Default Reasoning with Conditional Constraints
โ Scribed by Thomas Lukasiewicz
- Book ID
- 110329004
- Publisher
- Springer Netherlands
- Year
- 2002
- Tongue
- English
- Weight
- 348 KB
- Volume
- 34
- Category
- Article
- ISSN
- 1012-2443
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
This paper proposes probabilistic default reasoning as a suitable approach to uncertain inheritance and recognition for fuzzy and uncertain object-oriented models. The uncertainty is due to the uncertain membership of an object to a class and/or the uncertain applicability of a property, i.e., an at
Motivated by the recognized inadequacy of conventional techniques for the representation and manipulation of defaults which allow vague concepts as well, in this paper we present a theoretical study of an approach to default reasoning with vague default based on fuzzy logic. Zadeh's theory of possib
Conditional knowledge bases have been proposed as belief bases that include defeasible rules (also called defaults) of the form "ฯ โ ฯ", which informally read as "generally, if ฯ then ฯ". Such rules may have exceptions, which can be handled in different ways. A number of entailment semantics for con