{"title":"The incidence propagation method","authors":"Weiru Liu","doi":"10.1109/ISMVL.1996.508347","DOIUrl":null,"url":null,"abstract":"Incidence calculus is a probabilistic logic developed from propositional logic which associates probabilities with sets of possible worlds rather than with formulae directly. The probability of a formula is defined as the probability of the set of possible worlds in which this formula is true. This set of possible worlds is named as the incidence set of this formula. So the task of calculating probabilities of formulae relies on the task of obtaining incidence sets for formulae. In this paper, we present an approach for manipulating incidences in extended incidence calculus in the situation that, the language set is large. We will show how to decompose this large set into small, but coherent sets and then how to propagate incidences among these sets. In this way incidence sets can be calculated efficiently.","PeriodicalId":403347,"journal":{"name":"Proceedings of 26th IEEE International Symposium on Multiple-Valued Logic (ISMVL'96)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 26th IEEE International Symposium on Multiple-Valued Logic (ISMVL'96)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMVL.1996.508347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Incidence calculus is a probabilistic logic developed from propositional logic which associates probabilities with sets of possible worlds rather than with formulae directly. The probability of a formula is defined as the probability of the set of possible worlds in which this formula is true. This set of possible worlds is named as the incidence set of this formula. So the task of calculating probabilities of formulae relies on the task of obtaining incidence sets for formulae. In this paper, we present an approach for manipulating incidences in extended incidence calculus in the situation that, the language set is large. We will show how to decompose this large set into small, but coherent sets and then how to propagate incidences among these sets. In this way incidence sets can be calculated efficiently.