Conceptual and Methodological Problems with Comparative Work on Artificial Language Learning
Abstract: Several theoretical proposals for the evolution of language have sparked a renewed search for comparative data on human and non-human animal computational capacities. However, conceptual confusions still hinder the field, leading to experimental evidence that fails to test for comparable human competences. Here we focus on two conceptual and methodological challenges that affect the field generally: 1) properly characterizing the computational features of the faculty of language in the narrow sense; 2) defining and probing for human language-like computations via artificial language learning experiments in non-human animals. Our intent is to be critical in the service of clarity, in what we agree is an important approach to understanding how language evolved. https://bioling.psychopen.eu/index.php/bioling/article/view/8995
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Conceptual and Methodological Problems with Comparative Work on Artificial Language Learning ; volume:8 ; day:15 ; month:04 ; year:2014
Biolinguistics ; 8 (15.04.2014)
- Urheber
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Watumull, Jeffrey
Hauser, Marc D.
Berwick, Robert C.
- DOI
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10.5964/bioling.8995
- URN
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urn:nbn:de:101:1-2022110709123199355302
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:36 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Watumull, Jeffrey
- Hauser, Marc D.
- Berwick, Robert C.
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