Cognitive Science 40 (4):848-880 (2016)

Authors
Niels Skovgaard-Olsen
Universität Göttingen
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 ranking theoretic approach to conditionals.
Keywords Semantics of conditionals  Ranking theory  Quantitative predictions  Conditional reasoning  Reasons  Relevance  Psychology of reasoning
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Reprint years 2015, 2016
DOI 10.1111/cogs.12267
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References found in this work BETA

On Conditionals.Dorothy Edgington - 1995 - Mind 104 (414):235-329.

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Citations of this work BETA

Being Realist About Bayes, and the Predictive Processing Theory of Mind.Matteo Colombo, Lee Elkin & Stephan Hartmann - 2021 - British Journal for the Philosophy of Science 72 (1):185-220.

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Similar books and articles

A Ranking‐Theoretic Approach to Conditionals.Wolfgang Spohn - 2013 - Cognitive Science 37 (6):1074-1106.
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A Survey of Ranking Theory.Wolfgang Spohn - 2009 - In Franz Huber & Christoph Schmidt-Petri (eds.), Degrees of Belief. Springer.

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