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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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