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A dependency hypothesis for an agent at a time is a maximally specific proposition about how the things the agent cares about do and do not depend causally on his present acts.
But this formula is valid in all extended Kripke models for the mere reason that its truth at a world in a model only requires the existence of a maximally specific proposition, one which is true at exactly one world.
That remark emphasizes an important idealization permitted in intuitionistic mathematics: we may make the idealization that, once we have obtained a decision method for a specific proposition, we also know its outcome.
If there was a specific proposition on a ballot that we really cared for we were that family who put signs out on their yard.
The DST of evidence provides an explicit mechanism by replacing subjective probabilities with 'degrees of belief' that can be used to represent the extent to which a decision maker believes a specific proposition to be true.
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Shane (2000) is an author who developed specific propositions from a framework and examined the propositions in eight entrepreneurial cases.
Since some connectionist models store information in a highly distributed manner, there are no causally discrete, semantically evaluable data structures that represent specific propositions.
Thus, an agent may not assign credences simply to propositions concerning the way the world is, but to more specific propositions concerning who she is, where she is, or what time it is.
She argues that consent to specific propositions cannot be extended to closely related ones, and that the lack of explicit dissent cannot be taken as tacit or implied consent.
A correct proposition can get only one score, while for the specific propositions, which are the connection between two concepts from the different segments of the map, the score will be increased from one to ten.
Since existing research has rarely explained Chinese anti-demolition protests from the perspective of frames, this article does not directly put forward specific propositions in regard to the effects of frames; instead, we aim to reveal associational patterns between frames and protest success through cross-case comparison.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com