The Past, Present, and Future Encounters between Computation and the Humanities
Identifieur interne : 000194 ( Istex/Corpus ); précédent : 000193; suivant : 000195The Past, Present, and Future Encounters between Computation and the Humanities
Auteurs : Stefano FranchiSource :
- Studies in Applied Philosophy, Epistemology and Rational Ethics [ 2192-6255 ] ; 2013.
Abstract
Abstract: The philosophy of Artificial Intelligence has traditionally focused its efforts on the critical assessment of concepts and theories emerging from the concrete work done in Artificial Intelligence and Cognitive Science. Classic examples are the sustained critique that Herbert Dreyfus has been pursuing since the early 1970s [14, 15, 16] and John Searle’s critique of “strong AI” [47]. Margaret Boden’s collection [4] epitomizes this approach, whose underlying assumption accepts Artificial Intelligence as a non-philosophical scientific discipline that may be susceptible to the standard epistemological analysis that philosophers carry out on physics, biology, and other scientific disciplines.
Url:
DOI: 10.1007/978-3-642-31674-6_26
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Classic examples are the sustained critique that Herbert Dreyfus has been pursuing since the early 1970s [14, 15, 16] and John Searle’s critique of “strong AI” [47]. Margaret Boden’s collection [4] epitomizes this approach, whose underlying assumption accepts Artificial Intelligence as a non-philosophical scientific discipline that may be susceptible to the standard epistemological analysis that philosophers carry out on physics, biology, and other scientific disciplines.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>The Past, Present, and Future Encounters between Computation and the Humanities</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>The Past, Present, and Future Encounters between Computation and the Humanities</title></titleInfo><name type="personal" displayLabel="corresp"><namePart type="given">Stefano</namePart><namePart type="family">Franchi</namePart><affiliation>Texas A&M University, College Station, Tx, USA</affiliation><affiliation>E-mail: stefano@tamu.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre displayLabel="OriginalPaper" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" type="research-article" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-1JC4F85T-7">research-article</genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2013</dateIssued><dateIssued encoding="w3cdtf">2013</dateIssued><copyrightDate encoding="w3cdtf">2013</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><abstract lang="en">Abstract: The philosophy of Artificial Intelligence has traditionally focused its efforts on the critical assessment of concepts and theories emerging from the concrete work done in Artificial Intelligence and Cognitive Science. 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