| Title: | Coherence-based measures of explanatory power |
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| Authors: | ID Hartmann, Stephan (Author)
ID Trpin, Borut (Author) |
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| Files: |  RAZ_Hartmann_Stephan_2026.pdf (2,95 MB)
MD5: 03FFFB8A009E185EE80690153FB07465
 https://doi.org/10.1007/s11098-026-02517-x
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FF - Faculty of Arts
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| Abstract: | Recent critiques have cast doubt on the viability of probabilistic measures of ex planatory power. We respond by developing a coherence-based family of measures that sidesteps these challenges. Rather than assessing explanatory power solely by how well a hypothesis accounts for the evidence, these measures evaluate how well the entire explanatory package, including multiple explanantia, coheres with the explanandum compared to how well it coheres with its negation. We show that this approach accommodates key scientific judgments while preserving the virtues of a probabilistic framework. |
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| Keywords: | explanatory power, probabilistic measures, coherence, Bayesian reasoning, scientific explanation |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Article acceptance date: | 13.03.2026 |
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| Publication date: | 04.04.2026 |
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| Year of publishing: | 2026 |
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| Number of pages: | 27 str. |
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| PID: | 20.500.12556/DKUM-97755  |
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| UDC: | 165 |
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| ISSN on article: | 0031-8116 |
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| COBISS.SI-ID: | 274466819 |
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| DOI: | 10.1007/s11098-026-02517-x |
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| Publication date in DKUM: | 13.04.2026 |
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| Views: | 127 |
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| Downloads: | 1 |
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| Metadata: |    |
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| Categories: | Misc.
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