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Ranking Theory and Conditional Reasoning
Author(s) -
SkovgaardOlsen Niels
Publication year - 2016
Publication title -
cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.498
H-Index - 114
eISSN - 1551-6709
pISSN - 0364-0213
DOI - 10.1111/cogs.12267
Subject(s) - ranking (information retrieval) , computer science , cognitive psychology , econometrics , artificial intelligence , psychology , mathematics
Ranking theory is a formal epistemology that has been developed in over 600 pages in S pohn's recent book The Laws of Belief , which aims to provide a normative account of the dynamics of beliefs that presents an alternative to current probabilistic approaches. It has long been received in the AI community, but it has not yet found application in experimental psychology. The purpose of this paper is to derive clear, quantitative predictions by exploiting a parallel between ranking theory and a statistical model called logistic regression. This approach is illustrated by the development of a model for the conditional inference task using S pohn's (2013) ranking theoretic approach to conditionals.