Norms of assertion and communication in social networks.
Epistemologists can be divided into two camps: those who think that nothing short of certainty or (subjective) probability 1 can warrant assertion and those who disagree with this claim. This paper addressed this issue by inquiring into the problem of setting the probability threshold required for a...
| Publicado en: | Synthese Vol. 190; no. 13; pp. 2557 - 2572 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Sep2013
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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=89480575&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 89480575 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00397857 4LI jtl: Synthese issn: 00397857 maglogo: N pubinfo: dt: Sep2013 vid: 190 iid: 13 pid: 237 pub: Springer Nature artinfo: ui: 89480575 10.1007/s11229-013-0313-1 ppf: 2557 ppct: 15 formats: fmt: @attributes: type: P size: 350KB tig: atl: Norms of assertion and communication in social networks. aug: au: Olsson, Erik Vallinder, Aron affil: Department of Philosophy, Lund University, Kungshuset Lundagård 222 22 Lund Sweden su: Assertions (Logic) Social networks Computer simulation Social epistemology Bayesian analysis Probability theory sug: subj: Assertions (Logic) Social networks Computer simulation Social epistemology Bayesian analysis Probability theory keyword: Bayesianism Norms of assertion Probability Social network Veritistic value ab: Epistemologists can be divided into two camps: those who think that nothing short of certainty or (subjective) probability 1 can warrant assertion and those who disagree with this claim. This paper addressed this issue by inquiring into the problem of setting the probability threshold required for assertion in such a way that that the social epistemic good is maximized, where the latter is taken to be the veritistic value in the sense of Goldman (Knowledge in a social world, ). We provide a Bayesian model of a test case involving a community of inquirers in a social network engaged in group deliberation regarding the truth or falsity of a proposition $$p.$$ Results obtained by means of computer simulation indicate that the certainty rule is optimal in the limit of inquiry and communication but that a lower threshold is preferable in less idealized cases. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Synthese is a copyright of Springer, 2013. All Rights Reserved. item: Synthese holder: Springer Nature dt: @attributes: year: 2013 holdings: @attributes: islocal: N |
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