Category-based induction in conceptual spaces

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Abstract

Category-based induction is an inferential mechanism that uses knowledge of conceptual relations in order to estimate how likely is for a property to be projected from one category to another. During the last decades, psychologists have identified several features of this mechanism, and they have proposed different formal models of it. In this article; we propose a new mathematical model for category-based induction based on distances on conceptual spaces. We show how this model can predict most of the properties of this kind of reasoning while providing a solid theoretical foundation for it. We also show that it subsumes some of the previous models proposed in the literature and that it generates new predictions.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • Ludwig-Maximilian University of Munich
  • University Of Paris I Panthéon-Sorbonne
  • University of the Republic
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Psykologi (exklusive tillämpad psykologi)
Originalspråkengelska
Artikelnummer102357
TidskriftJournal of Mathematical Psychology
Volym96
StatusPublished - 2020
PublikationskategoriForskning
Peer review utfördJa