Titlebook: Coherence, Truth and Testimony; Ulrich G?hde,Stephan Hartmann Book 2005 Springer Science+Business Media B.V. 2005 coherence.foundation.iss

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Linear Algebra over a Semiring, in a fundamental way. An example is given which suggests that this prior-dependence can lead to potential problems. Another coherence measure is shown to be independent of prior probabilities in a clearly defined sense and consequently is able to avoid such problems. The issue of prior-dependence i

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9. Interchangeability in Soft CSPs,es providing the cohering information are individually credible and collectively independent. Furthermore, coherence can at best be truth conducive in a ceteris paribus sense. Bovens and Hartmann have argued that there cannot be any measure of coherence that is truth conducive even in this very weak

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2. Soft Constraint Satisfaction Problems,th this is just a matter of luck. Coherence theories embrace falliblism, to be sure, but that does not sustain the objection. Coherence is connected with truth by principles of justified acceptance that explain the connection between coherence and truth. Coherence is connected with truth by explanat

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9. Interchangeability in Soft CSPs,logically unrelated, and argue that my result answers a question raised by Bovens and Hartmann’,s study. Finally, I discuss the epistemological ramifications of these findings and try to make plausible that a shift to an explanatory framework such as Thagard’,s is unlikely to turn the impossibility into a possibility.

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Why There Cannot be a Single Probabilistic Measure of Coherence,idence in the content of the information set is a function of the reliability of the sources and the components of the coherence vector. The components of this coherence vector are weakly but not strongly separable, which blocks the construction of a single coherence measure.

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The Impossibility of Coherence,logically unrelated, and argue that my result answers a question raised by Bovens and Hartmann’,s study. Finally, I discuss the epistemological ramifications of these findings and try to make plausible that a shift to an explanatory framework such as Thagard’,s is unlikely to turn the impossibility into a possibility.

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Testimony, Credibility, and Eplanatory Coherence,ulations show how explanatory coherence can be maximized in real-life cases, taking into account all the relevant evidence including the credibility of whoever is making a claim. The explanatorycoherence account is more plausible both descriptively and normatively than a Bayesian account.

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Against Probabilistic Measures of Coherence, or their negations, and if P(B)=P(C). But such sets may indeed differ in their degree of coherence. Second, coherence is sensitive to explanatory relations between the propositions in question. Explanation, however, can hardly be captured solely in terms of probability.