{"title":"Empirical and Rational Components in Scientific Confirmation","authors":"A. Shimony","doi":"10.1086/psaprocbienmeetp.1994.2.192925","DOIUrl":null,"url":null,"abstract":"Some desiderata for scientific confirmation are formulated in the light of a tentative scientific world view. Bayesian confirmation theories generically satisfy most of these desiderata, but one of them, \"the strategy of ascent,\" fits best in a tempered personalist version of Bayesianism. There are both empirical and rational components, dialectically combined, in tempered personalism. The question of explanation vs. prediction is treated in a Bayesian manner, and it is found that both operations are susceptible to characteristic systematic errors. If these are eliminated, however, then explanation and prediction provide equally good evidential support for hypotheses.","PeriodicalId":288090,"journal":{"name":"PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1086/psaprocbienmeetp.1994.2.192925","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
Some desiderata for scientific confirmation are formulated in the light of a tentative scientific world view. Bayesian confirmation theories generically satisfy most of these desiderata, but one of them, "the strategy of ascent," fits best in a tempered personalist version of Bayesianism. There are both empirical and rational components, dialectically combined, in tempered personalism. The question of explanation vs. prediction is treated in a Bayesian manner, and it is found that both operations are susceptible to characteristic systematic errors. If these are eliminated, however, then explanation and prediction provide equally good evidential support for hypotheses.