Title :
A logic for reasoning about probabilities
Author :
Fagin, Ronald ; Halpern, Joseph Y. ; Megiddo, Nimrod
Author_Institution :
IBM Almaden Res. Center, San Jose, CA, USA
Abstract :
A language for reasoning about probability is considered that allows statements such as ´the probability of E/sub 1/ is less than 1/3´ and ´the probability of E/sub 1/ is at least twice the probability of E/sub 2/´, where E/sub 1/ and E/sub 2/ are arbitrary events. The case is treated in which all events are measurable (i.e. represent measurable sets), as well as the more general case, which is also of interest in practice, where they may not be measurable. The measurable case is essentially a formalization of (the propositional fragment of) N. Nilson´s (1986) probabilistic logic, while the general (nonmeasurable) case corresponds precisely to replacing probability functions by Dempster-Shafer belief functions. In both cases, an elegant complete axiomization is provided, and it is shown that the problem of deciding satisfiability is NP-complete.<>
Keywords :
probabilistic logic; probability; Dempster-Shafer belief functions; NP-complete; complete axiomization; probabilistic logic; probability; probability functions; satisfiability; Artificial intelligence; Computer science; Expert systems; Information analysis; Linear programming; Logic programming; Probabilistic logic;
Conference_Titel :
Logic in Computer Science, 1988. LICS '88., Proceedings of the Third Annual Symposium on
Conference_Location :
Edinburgh, UK
Print_ISBN :
0-8186-0853-6
DOI :
10.1109/LICS.1988.5138