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Conceptual and Methodological Problems with Comparative Work on Artificial Language Learning

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dc.contributor.author Watumul, Jeffrey
dc.date.accessioned 2020-01-30T10:33:09Z
dc.date.available 2020-01-30T10:33:09Z
dc.date.issued 2014
dc.identifier.uri https://hdl.handle.net/20.500.12528/1502
dc.description.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. en
dc.language.iso en_US en
dc.subject evolution of language en
dc.subject faculty of language en
dc.subject artificial language en
dc.subject ai en
dc.subject kompetencja językowa
dc.subject sztuczna inteligencja
dc.subject ewolucja mowy
dc.title Conceptual and Methodological Problems with Comparative Work on Artificial Language Learning en
dc.type Article en


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