Repository URL:
http://philsci-archive.pitt.edu/id/eprint/11917
Author(s):
Raphaël Künstler
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preprint description
This paper argues that standard theories of judgment aggregation cannot apply to scientific practice, since science is a temporally extended process that involves both different individuals and different hypotheses during that process. Thus, for example, we seem to have no idea how to determine the judgments of dead scientists about theoretical alternatives that were proposed after their death. The paper then proposes an algorithm for judgment aggregation to try to address some of these challenges.

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