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  1. Lying, more or less: a computer simulation study of graded lies and trust dynamics.Borut Trpin, Anna Dobrosovestnova & Sebastian J. Götzendorfer - 2020 - Synthese 199 (1-2):1-28.
    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 (...)
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  • How to (Blind)Spot the Truth: An Investigation on Actual Epistemic Value.Danilo Fraga Dantas - 2021 - Erkenntnis:1572-8420.
    This paper is about the alethic aspect of epistemic rationality. The most common approaches to this aspect are either normative (what a reasoner ought to/may believe?) or evaluative (how rational is a reasoner?), where the evaluative approaches are usually comparative (one reasoner is assessed compared to another). These approaches often present problems with blindspots. For example, ought a reasoner to believe a currently true blindspot? Is she permitted to? Consequently, these approaches often fail in describing a situation of alethic maximality, (...)
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  • The Ecological Rationality of Explanatory Reasoning.Igor Douven - 2020 - Studies in History and Philosophy of Science Part A 79:1-14.
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  • Jeffrey conditionalization: proceed with caution.Borut Trpin - 2020 - Philosophical Studies 177 (10):2985-3012.
    It has been argued that if the rigidity condition is satisfied, a rational agent operating with uncertain evidence should update her subjective probabilities by Jeffrey conditionalization or else a series of bets resulting in a sure loss could be made against her. We show, however, that even if the rigidity condition is satisfied, it is not always safe to update probability distributions by JC because there exist such sequences of non-misleading uncertain observations where it may be foreseen that an agent (...)
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