Empiricism in the foundations of cognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985955%3A_____%2F23%3A00569410" target="_blank" >RIV/67985955:_____/23:00569410 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/s00146-021-01287-w" target="_blank" >https://doi.org/10.1007/s00146-021-01287-w</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00146-021-01287-w" target="_blank" >10.1007/s00146-021-01287-w</a>
Alternative languages
Result language
angličtina
Original language name
Empiricism in the foundations of cognition
Original language description
This paper traces the empiricist program from early debates between nativism and behaviorism within philosophy, through debates about early connectionist approaches within the cognitive sciences, and up to their recent iterations within the domain of deep learning. We demonstrate how current debates on the nature of cognition via deep network architecture echo some of the core issues from the Chomsky/Quine debate and investigate the strength of support offered by these various lines of research to the empiricist standpoint. Referencing literature from both computer science and philosophy, we conclude that the current state of deep learning does not offer strong encouragement to the empiricist side despite some arguments to the contrary.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
60301 - Philosophy, History and Philosophy of science and technology
Result continuities
Project
<a href="/en/project/GA16-15621S" target="_blank" >GA16-15621S: Theories of belief and the foundations of subjective probability</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
AI & Society
ISSN
0951-5666
e-ISSN
1435-5655
Volume of the periodical
38
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
21
Pages from-to
67-87
UT code for WoS article
000710043200001
EID of the result in the Scopus database
2-s2.0-85117737208