City Research Online

Abstract

We review recent progress in understanding similarity judgments in cognition by means of quantum probability theory (QP) models. We begin by outlining some features of similarity judgments that have proven difficult to model by traditional approaches. We then briefly present a model of similarity judgments based on QP, and show how it can solve many of the problems faced by traditional approaches. Finally we look at some areas where the quantum model is currently less satisfactory, and discuss some open questions and areas for further work.

Publication Type:	Article
Additional Information:	The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-15931-7_11
Subjects:	B Philosophy. Psychology. Religion > BF Psychology Q Science > QA Mathematics
Departments:	School of Health & Psychological Sciences > Psychology

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