Neural Networks Track the Logical Complexity of Boolean Concepts

Saved in:
Bibliographic Details
Main Authors: Fausto Carcassi, Jakub Szymanik
Format: Article
Language:English
Published: The MIT Press 2022-09-01
Series:Open Mind
Online Access:http://dx.doi.org/10.1162/opmi_a_00059
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850165412892770304
author Fausto Carcassi
Jakub Szymanik
author_facet Fausto Carcassi
Jakub Szymanik
author_sort Fausto Carcassi
collection DOAJ
format Article
id doaj-art-cd874dbabbe542d0baac0df382b397f5
institution OA Journals
issn 2470-2986
language English
publishDate 2022-09-01
publisher The MIT Press
record_format Article
series Open Mind
spelling doaj-art-cd874dbabbe542d0baac0df382b397f52025-08-20T02:21:46ZengThe MIT PressOpen Mind2470-29862022-09-01610.1162/opmi_a_00059Neural Networks Track the Logical Complexity of Boolean ConceptsFausto CarcassiJakub Szymanikhttp://dx.doi.org/10.1162/opmi_a_00059
spellingShingle Fausto Carcassi
Jakub Szymanik
Neural Networks Track the Logical Complexity of Boolean Concepts
Open Mind
title Neural Networks Track the Logical Complexity of Boolean Concepts
title_full Neural Networks Track the Logical Complexity of Boolean Concepts
title_fullStr Neural Networks Track the Logical Complexity of Boolean Concepts
title_full_unstemmed Neural Networks Track the Logical Complexity of Boolean Concepts
title_short Neural Networks Track the Logical Complexity of Boolean Concepts
title_sort neural networks track the logical complexity of boolean concepts
url http://dx.doi.org/10.1162/opmi_a_00059
work_keys_str_mv AT faustocarcassi neuralnetworkstrackthelogicalcomplexityofbooleanconcepts
AT jakubszymanik neuralnetworkstrackthelogicalcomplexityofbooleanconcepts