title: Ranking Theory and Conditional Reasoning.
abstract: Ranking theory is a formal epistemology that has been developed in over 600 pages in Spohn'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 Spohn's (2013) ranking theoretic approach to conditionals.
authors.affiliation: Philosophy Department, University of Konstanz.|Psychology Department, University of Freiburg.
authors.forename: Niels
authors.initials: N
authors.lastname: Skovgaard-Olsen
mesh_terms: D003657:Decision Making / Q000502:physiology*; D006801:Humans; D008128:Logic; D015233:Models, Statistical; D011338:Probability Theory; D013850:Thinking / Q000502:physiology*
keywords: Conditional reasoning; Psychology of reasoning; Quantitative predictions; Ranking theory; Reasons; Relevance; Semantics of conditionals