Learning of Relational Categories as a Function of Higher-order Structure

Daniel Corral, Matt Jones

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Higher-order relations are important for various cognitive tasks, such as analogical transfer. The current study tested people’s ability to learn new relational categories, using a learning test of pure higher-order relations. Each stimulus consisted of 4 objects varying on 3 dimensions. Each category was defined by three binary relations between pairs of objects, producing six logically different conditions. Every category was composed of the same number of relations, but differed in the manner that the relations were linked (i.e., by operating on shared objects). Various learning models were compared and the significance of their performance on the experimental task is discussed. The current findings may advance understanding of the cognitive mechanisms involved in relational learning and the manner in which people naturally represent higher-order relational structures.

Original languageEnglish (US)
Title of host publicationBuilding Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012
EditorsNaomi Miyake, David Peebles, Richard P. Cooper
PublisherThe Cognitive Science Society
Pages1434-1439
Number of pages6
ISBN (Electronic)9780976831884
StatePublished - 2012
Externally publishedYes
Event34th Annual Meeting of the Cognitive Science Society: Building Bridges Across Cognitive Sciences Around the World, CogSci 2012 - Sapporo, Japan
Duration: Aug 1 2012Aug 4 2012

Publication series

NameBuilding Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012

Conference

Conference34th Annual Meeting of the Cognitive Science Society: Building Bridges Across Cognitive Sciences Around the World, CogSci 2012
Country/TerritoryJapan
CitySapporo
Period8/1/128/4/12

Keywords

  • higher-order relations
  • schema elaboration
  • schema refinement
  • structure acquisition

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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