id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_37xuobwi4ndqthovrpacx5fbsa	Jonah N. Schupbach	Comparing Probabilistic Measures of Explanatory Power	2011	18	.pdf	application/pdf	6442	554	65	Recently, in attempting to account for explanatory reasoning in probabilistic terms, Bayesians have proposed several measures of the degree That is, in the n'th round of the interview, each participant's response to task 3 was interpreted as that person's subjective probability for HA conditional upon the n results of all of the drawings up to that point: the measure of the Euclidean distance between participant judgments and the "theoretical results" derived from each particular candidate measure of explanatory provides the distance between participant judgments and the corresponding posterior probabilities (rescaled to [−1, 1]) that the urn chosen is A (column 2) or is B Distances between participant judgments and measures (subjective probabilities). Distances between participant judgments and measures (objective probabilities). compare the means of the residuals (i.e., J(di , hi)− E(di , hi)) between the theoretical results provided by each candidate measure and participant judgments.	./cache/work_37xuobwi4ndqthovrpacx5fbsa.pdf	./txt/work_37xuobwi4ndqthovrpacx5fbsa.txt