The learnability of natural concepts

被引：4
作者：
Douven, Igor [1 ]
机构：
[1] Panthe Onsorbonne Univ, IHPST, CNRS, 13 rue Four, F-75006 Paris, France
来源：
MIND & LANGUAGE | 2025年 / 40卷 / 01期
关键词：
concepts; learnability; multi-layer perceptron; naturalness; optimality; similarity spaces; RATIONAL ANALYSIS; ATTENTION; IDENTIFICATION; CATEGORIZATION; SIMILARITY;
D O I：
10.1111/mila.12523
中图分类号：
H0 [语言学];
学科分类号：
030303 ; 0501 ; 050102 ;
摘要：
According to a recent proposal, natural concepts are represented in an optimally designed similarity space, adhering to principles a skilled engineer would use for creatures with our perceptual and cognitive capacities. One key principle is that natural concepts should be easily learnable. While evidence exists for parts of this optimal design proposal, there has been no direct evidence linking naturalness to learning until now. This article presents results from a computational study on perceptual color space, demonstrating that naturalness indeed facilitates learning.
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收藏
页码：120 / 135
页数：16
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