In:
First Language, SAGE Publications, Vol. 40, No. 5-6 ( 2020-10), p. 631-635
Abstract:
In ‘Against Stored Abstractions,’ Ambridge uses neural and computational evidence to make his case against abstract representations. He argues that storing only exemplars is more parsimonious – why bother with abstraction when exemplar models with on-the-fly calculation can do everything abstracting models can and more – and implies that his view is well supported by neuroscience and computer science. We argue that there is substantial neural, experimental, and computational evidence to the contrary: while both brains and machines can store exemplars, forming categories and storing abstractions is a fundamental part of what they do.
Type of Medium:
Online Resource
ISSN:
0142-7237
,
1740-2344
DOI:
10.1177/0142723720906233
Language:
English
Publisher:
SAGE Publications
Publication Date:
2020
detail.hit.zdb_id:
2124155-7
SSG:
7,11
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