Simulating Feature- and Relation-Based Categorisation with a Symbolic-Connectionist Model
Skip to main content
eScholarship
Open Access Publications from the University of California

Simulating Feature- and Relation-Based Categorisation with a Symbolic-Connectionist Model

Creative Commons 'BY' version 4.0 license
Abstract

Participants in Goldwater et al. (2018) reported using either feature- or relation-based strategy during a series of category learning tasks. A computational modeling study was conducted to investigate whether performance on Experiments 1 and 2 of Goldwater et al. (2018) might be explained by the assumption that participants used either feature- or relation-based representational encoding during learning. Human participants’ and model performance are compared and implications are discussed

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View