Truthlikeness for probabilistic laws.
Truthlikeness is a property of a theory or a proposition that represents its closeness to the truth. We start by summarizing Niiniluoto's (Truthlikeness, Reidel, Dordrecht, 1987) proposal of truthlikeness for deterministic laws (DL), which defines truthlikeness as a function of accuracy, and García-...
| Publicado en: | Synthese Vol. 199; no. 3/4; pp. 9359 - 9390 |
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| Formato: | Artículo |
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Springer Nature
Dec2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=154096856&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 154096856 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00397857 4LI jtl: Synthese issn: 00397857 maglogo: N pubinfo: dt: Dec2021 vid: 199 iid: 3/4 pid: 237 pub: Springer Nature artinfo: ui: 154096856 10.1007/s11229-021-03206-4 ppf: 9359 ppct: 31 formats: fmt: – @attributes: type: T – @attributes: type: P size: 3.1MB tig: atl: Truthlikeness for probabilistic laws. aug: au: García-Lapeña, Alfonso affil: LOGOS Research Group in Analytical Philosophy, Barcelona Institute of Analytical Philosophy (BIAP), University of Barcelona (UB), Barcelona, Spain su: Probability measures Probability theory sug: subj: Probability measures Probability theory keyword: Kullback–Leibler Legisimilitude Probabilistic laws Probabilistic truths Scientific laws Truthlikeness Verisimilitude ab: Truthlikeness is a property of a theory or a proposition that represents its closeness to the truth. We start by summarizing Niiniluoto's (Truthlikeness, Reidel, Dordrecht, 1987) proposal of truthlikeness for deterministic laws (DL), which defines truthlikeness as a function of accuracy, and García-Lapeña's (Br J Philos Sci, Forthcoming, 2021) expanded version, which defines truthlikeness for DL as a function of two factors, accuracy and nomicity. Then, we move to develop an appropriate definition of truthlikeness for probabilistic laws (PL) based on Niiniluoto's (Truthlikeness, Reidel, Dordrecht, 1987) suggestion to use the Kullback–Leibler divergence to define the distance between a probability law X and the true probability law T . We argue that the Kullback–Leibler divergence seems to be the best of the available probability distances to measure accuracy between PL. However, as in the case of DL, we argue that accuracy represents a necessary but not sufficient condition, as two PL may be equally accurate and still one may imply more true or truthlike consequences, behaviours or true facts about the system than the other. The final proposal defines truthlikeness for PL as a function of two factors, p-accuracy and p-nomicity, in intimate connexion with García-Lapeña's proposal for DL. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Synthese is a copyright of Springer, 2021. All Rights Reserved. item: Synthese holder: Springer Nature dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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