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Estimation of the hypothesis hierarchy in probabilistic inference tasks*
Author(s) -
KNEZ IGOR
Publication year - 1992
Publication title -
scandinavian journal of psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 72
eISSN - 1467-9450
pISSN - 0036-5564
DOI - 10.1111/j.1467-9450.1992.tb00812.x
Subject(s) - inference , hierarchy , consistency (knowledge bases) , statistical hypothesis testing , probabilistic logic , sampling (signal processing) , statistical inference , psychology , task (project management) , hierarchical database model , statistics , econometrics , computer science , artificial intelligence , mathematics , data mining , management , filter (signal processing) , economics , market economy , computer vision
Is there a hierarchical order among the hypotheses about functional rules in probabilistic inference tasks, i.e. what is the construction and the procedure of the “hypothesis sampling mechanism” employed by the subjects in this kind of task? According to the hypothesis sampling model initially proposed by Brehmer (1974) there should be a hierarchical order among the hypotheses in the subject's hypothesis pools. The procedures of hypothesis sampling and testing ought to follow this strict data independent order (see e.g. Sniezek, 1986; Brehmer, 1987). Knez (1991 a, b ) showed, however, that this assumption may be incorrect. As a follow up to these results the question regarding the construction of the subject's hypothesis pools was reapproached in the present study. The results indicated a consistency with the hierarchical assumption (Brehmer, 1974) only regarding the relation between the linear and nonlinear rules but not within these types of rules.