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The HBMA result shows that each highly probable proposition can be identified for each uncertain model component once the discrimination criterion is achieved.
In judging rationally how much to assent to a probable proposition, these are the relevant considerations that the mind should review.
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Hierarchical Bayesian model averaging (HBMA) is adopted to assess if highly probable propositions can be identified and the conceptual model uncertainty can be reduced by the experimental design.
Locke distinguishes two sorts of probable propositions.
The most prolific category of probable propositions were opinions in the medieval technical sense of this term.
He also distinguishes in the way Locke does intuitive, demonstrative and probable truths, and treats claims about revelation as probable propositions that largely derive from testimony.
But if one can convince oneself that there are real logical relations of making probable holding between propositions, then perhaps the acquaintance theorist can secure the required knowledge of those connections once again through acquaintance.
Similarly, when we say a proposition is probable, or probably true, we are not assigning any intrinsic property to the proposition, nor saying that there is any relation it bears to any other proposition.
A proposition was probable (probabilis) if specific indicators of truth justified assent (i.e., holding it true) or acceptance as a premise for action.[4] The main justifications for judgments of probability will be discussed in more detail in Section 3, on "Scholastic Concepts of Probability".
Alternatively, some philosophers would argue that there are relations of making probable that hold between propositions analogous (in some ways) to the relation of entailment that holds between propositions.
According to Locke, it shares a room with probable truths, which are propositions of which reason cannot be certain.
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