A scoring rule and global inaccuracy measure for contingent varying importance
Bibliographic Data
| ID | 21370641 |
|---|---|
| Authors | Pavel Janda (0000-0003-0438-6679, Politecnico di Milano, corresponding author) |
| Year | 2023 |
| Volume | 180 |
| Issue | 12 |
| Pages | 3323-3352 |
| Publication date | 2023-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Philosophical Studies (JOURNAL) |
| Journal identifiers | ISSN: 0031-8116 • E-ISSN: 1573-0883 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11098-023-02028-z |
| OpenAlex | W4387101978 |
| Language | EN |
| References cited | 18 |
Levinstein recently presented a challenge to accuracy-first epistemology. He claims that there is no strictly proper, truth-directed, additive, and differentiable scoring rule that recognises the contingency of varying importance, i.e., the fact that an agent might value the inaccuracy of her credences differently at different possible worlds. In my response, I will argue that accuracy-first epistemology can capture the contingency of varying importance while maintaining its commitment to additivity, propriety, truth-directedness, and differentiability. I will construct a scoring rule — a weighted scoring rule — and a global inaccuracy measure that has all four required properties and recognises the contingency of varying importance. I will show that Levinstein’s and my results coexist without contradicting each other
Construct (python library) · Contingency · Data mining · Differentiable function · Epistemology · Linguistics · Mathematical economics · Measure (data warehouse) · Metaphysics · Philosophy of language · Philosophy of mind · Pure mathematics · Truth value · Computer Science · Epistemology, Ethics, and Metaphysics · Feminist Epistemology and Gender Studies · Mathematics · Philosophy · Philosophy and History of Science
Accuracy and the Laws of Credence
Self-locating belief and the Sleeping Beauty problem
Accuracy and Coherence
Comparing Density Forecasts Using Threshold- and Quantile-Weighted Scoring Rules
Scoring in context
Accuracy-First Epistemology Without Additivity
A Pragmatist’s Guide to Epistemic Utility
Minimizing Inaccuracy for Self-Locating Beliefs
Epistemic Utility and Norms for Credences
| Highly cited | No |
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