Lying, more or less: a computer simulation study of graded lies and trust dynamics.
Partial lying denotes the cases where we partially believe something to be false but nevertheless assert it with the intent to deceive the addressee. We investigate how the severity of partial lying may be determined and how partial lies can be classified. We also study how much epistemic damage an...
| Publicado en: | Synthese Vol. 199; no. 1/2; pp. 991 - 1019 |
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| Autores principales: | , , |
| 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=153650817&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 153650817 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00397857 4LI jtl: Synthese issn: 00397857 maglogo: N pubinfo: dt: Dec2021 vid: 199 iid: 1/2 pid: 237 pub: Springer Nature artinfo: ui: 153650817 10.1007/s11229-020-02746-5 ppf: 991 ppct: 28 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.3MB tig: atl: Lying, more or less: a computer simulation study of graded lies and trust dynamics. aug: au: Trpin, Borut Dobrosovestnova, Anna Götzendorfer, Sebastian J. affil: Fakultät für Philosophie, Wissenschaftstheorie und Religionswissenschaft, Munich Center for Mathematical Philosophy, Ludwig-Maximilians-Universität München, Geschwister-Scholl-Platz 1, 80539, Munich, Germany Austrian Research Institute for Artificial Intelligence, Freyung 6/6, 1010, Vienna, Austria Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Liebiggasse 5, 1010, Vienna, Austria su: Computer simulation Theory of knowledge Coins sug: subj: Computer simulation Theory of knowledge Coins keyword: Blameworthiness Computer simulations Epistemic damage Ethics Formal epistemology Lying ab: Partial lying denotes the cases where we partially believe something to be false but nevertheless assert it with the intent to deceive the addressee. We investigate how the severity of partial lying may be determined and how partial lies can be classified. We also study how much epistemic damage an agent suffers depending on the level of trust that she invests in the liar and the severity of the lies she is told. Our analysis is based on the results from exploratory computer simulations of an arguably rational Bayesian agent who is trying to determine how biased a coin is while observing the coin tosses and listening to a (partial) liar's misleading predictions about the outcomes. Our results provide an interesting testable hypothesis at the intersection of epistemology and ethics, namely that in the longer term partial lies lead to more epistemic damage than outright lies. 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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