Synthese 199 (1-2):1-28 (2020)
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Abstract |
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 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.
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DOI | 10.1007/s11229-020-02746-5 |
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References found in this work BETA
The Definition of Lying and Deception.James Edwin Mahon - 2015 - Stanford Encyclopedia of Philosophy.
Assertion, Knowledge, and Rational Credibility.Igor Douven - 2006 - Philosophical Review 115 (4):449-485.
An Objective Justification of Bayesianism I: Measuring Inaccuracy.Hannes Leitgeb & Richard Pettigrew - 2010 - Philosophy of Science 77 (2):201-235.
View all 23 references / Add more references
Citations of this work BETA
Reliability: An Introduction.Stefano Bonzio, Jürgen Landes & Barbara Osimani - 2020 - Synthese (Suppl 23):1-10.
Computational modeling in philosophy: introduction to a topical collection.Simon Scheller, Christoph Merdes & Stephan Hartmann - 2022 - Synthese 200 (2):1-10.
Reliability: An Introduction.Stefano Bonzio, Jürgen Landes & Barbara Osimani - 2020 - Synthese 198 (S23):5615-5624.
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2020-06-30
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