PhilSci Archive

Learning Concepts: A Learning-Theoretic Solution to the Complex-First Paradox.

Poth, Nina and Broessel, Peter (2019) Learning Concepts: A Learning-Theoretic Solution to the Complex-First Paradox. [Preprint]

[img]
Preview
Text
ComplexFirstSolution.pdf

Download (264kB) | Preview

Abstract

Children acquire complex concepts like DOG earlier than simple concepts like BROWN, even though our best neuroscientific theories suggest that learning the former is harder than learning the latter and, thus, should take more time (Werning 2010). This is the ComplexFirst Paradox. We present a novel solution to the Complex-First Paradox. Our solution builds on a generalization of Xu and Tenenbaum’s (2007) Bayesian model of word learning. By focusing on a rational theory of concept learning, we show that it is easier to infer the meaning of complex concepts than that of simple concepts.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Poth, Ninanina.poth@ed.ac.uk
Broessel, Peterpeter.broessel@rub.de
Keywords: Complex-First Paradox, Bayesian inference, concept learning, size principle
Subjects: Specific Sciences > Cognitive Science
Depositing User: Dr. Nina Poth
Date Deposited: 17 Jul 2019 03:36
Last Modified: 17 Jul 2019 03:36
Item ID: 16229
Subjects: Specific Sciences > Cognitive Science
Date: 2019
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/16229

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item