A boundedly rational model for category learning

The computational modeling of category learning is typically evaluated in terms of the model's accuracy. For a model to accurately infer category membership of stimuli, it has to have sufficient representational precision. Thus, many category learning models infer category representations that...

Full description

Saved in:
Bibliographic Details
Main Author: Troy M. Houser
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1477514/full
Tags: Add Tag
No Tags, Be the first to tag this record!