Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Fundamental concepts of qualitative probabilistic networks
Artificial Intelligence
Constraint propagation with imprecise conditional probabilities
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
New direction for uncertainty reasoning in deductive databases
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
Probabilistic Reasoning With Facts And Rules In Deductive Databases
ECSQAU Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
A Hybrid Approach for Modeling Uncertainty in Terminological Logics
ECSQAU Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Can Uncertainty Management be Realized in a Finite Totally Ordered Probability Algebra?
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
The orders of magnitude models as qualitative algebras
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
| Hi-index | 0.00 |
This paper investigates the possibility of performing automated reasoning in probabilistic logic when probabilities are expressed by means of linguistic quantifiers. Each linguistic term is expressed as a prescribed interval of proportions. Then instead of propagating numbers, qualitative terms are propagated in accordance with the numerical interpretation of these terms. The quantified syllogism, modelling the chaining of probabilistic rules, is studied in this context. It is shown that a qualitative counterpart of this syllogism makes sense, and is relatively independent of the threshold defining the linguistically meaningful intervals, provided that these threshold values remain in accordance with the intuition. The inference power is less than that of a full-fledged probabilistic constraint propagation device but better corresponds to what could be thought of as commonsense probabilistic reasoning.