DocumentCode
2070198
Title
Contributions to the foundations of uncertain inference in AI
Author
Nguyen, Hung T.
Author_Institution
Dept. of Math. Sci., New Mexico State Univ., Las Cruces, NM, USA
fYear
1990
fDate
3-5 Dec 1990
Firstpage
42
Lastpage
44
Abstract
Basic aspects of a conditional logic compatible with probability theory are presented, for reasoning with uncertainty. A conditional logic is a logic in which the basic objects are conditionals
Keywords
inference mechanisms; probabilistic logic; probability; AI; conditional logic; probability theory; reasoning; uncertain inference; uncertainty; Artificial intelligence; Calculus; Commutation; Logic programming; Machine intelligence; Probabilistic logic; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Uncertainty Modeling and Analysis, 1990. Proceedings., First International Symposium on
Conference_Location
College Park, MD
Print_ISBN
0-8186-2107-9
Type
conf
DOI
10.1109/ISUMA.1990.151220
Filename
151220
Link To Document