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  1. Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008) 0.16 
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    Content
    Vgl. auch: https://studylibde.com/doc/13053640/richard-schrodt. Vgl. auch: http%3A%2F%2Fwww.univie.ac.at%2FGermanistik%2Fschrodt%2Fvorlesung%2Fwissenschaftssprache.doc&usg=AOvVaw1lDLDR6NFf1W0-oC9mEUJf.
  2. Suchenwirth, L.: Sacherschliessung in Zeiten von Corona : neue Herausforderungen und Chancen (2019) 0.16 
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    Footnote
    https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.
  3. Axelos, C.; Flasch, K.; Schepers, H.; Kuhlen, R.; Romberg, R.; Zimmermann, R.: Allgemeines/Besonderes (1971-2007) 0.16 
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    Footnote
    DOI: 10.24894/HWPh.5033. Vgl. unter: https://www.schwabeonline.ch/schwabe-xaveropp/elibrary/start.xav#__elibrary__%2F%2F*%5B%40attr_id%3D%27verw.allgemeinesbesonderes%27%5D__1515856414979.
    Source
    Historisches Wörterbuch der Philosophie. Hrsg.: J. Ritter, K. Gründer u. G. Gabriel
  4. Donsbach, W.: Wahrheit in den Medien : über den Sinn eines methodischen Objektivitätsbegriffes (2001) 0.10 
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    Source
    Politische Meinung. 381(2001) Nr.1, S.65-74 [https%3A%2F%2Fwww.dgfe.de%2Ffileadmin%2FOrdnerRedakteure%2FSektionen%2FSek02_AEW%2FKWF%2FPublikationen_Reihe_1989-2003%2FBand_17%2FBd_17_1994_355-406_A.pdf&usg=AOvVaw2KcbRsHy5UQ9QRIUyuOLNi]
  5. Krämer, S.: Künstliche Intelligenz : der Aufstieg des Computers zum Modellbaukasten des Geistes (1994) 0.07 
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    Abstract
    Die Interpreten Künstlicher Intelligenz sind konfrontiert mit einem Paradoxon. Die praktischen Wirkungen Künstlicher Intelligenz sind minimal. Doch theoretisch betrachtet entfaltet die Künstliche Intelligenz eine ungebrochene Attraktivität und füllt die Feuilleton-Seiten ebenso zugkräftig wie die philosophischen Seminare. Die Künstliche Intelligenz - diese Schlußfolgerung drängt sich auf - wirkt weniger als eine Technik, sondern als eine Idee. Nicht ihre faktische Ingenieurleistung zählt, sondern das ihr zugrundeliegende Modell vom Geist
    Source
    Information Philosophie. 22(1994) H.2, S.16-28
  6. Morik, K.: Künstliche Intelligenz und Neuroinformatik (1994) 0.07 
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  7. Singer, W.: Hirnentwicklung oder die Suche nach Kohärenz (1994) 0.06 
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    Date
    22. 7.2000 18:43:51
    Source
    Geist - Gehirn - Künstliche Intelligenz: zeitgenössische Modelle des Denkens. Ringvorlesung an der Freien Universität. Hrsg.: S. Krämer
  8. Friederici, A.: Gehirn und Sprache : Neurobiologische Grundlagen der Sprachverarbeitung (1994) 0.06 
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    Date
    22. 7.2000 18:43:38
    Source
    Geist - Gehirn - Künstliche Intelligenz: zeitgenössische Modelle des Denkens. Ringvorlesung an der Freien Universität. Hrsg.: S. Krämer
  9. ¬Der Student aus dem Computer (2023) 0.06 
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    Abstract
    Kann gut zitieren, aber schlecht rechnen: Künstliche Intelligenz besteht Juraprüfung an US-Uni
    Date
    27. 1.2023 16:22:55
  10. Plomin, R.; DeFries, J.C.: Erblichkeit kognitiver Stärken und Schwächen (1999) 0.06 
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    Abstract
    Schätzungsweise 30.000 unserer Gene werden im Gehirn ausgeprägt, und jedes könnte mit Intelligenz zu tun haben. Herauszufinden, welche davon bestimmt Komponenten unseres Intellekts mitgestalten oder zur Intelligenz allgemein beitragen, gleicht einer Sisyphusarbeit. Sie trägt aber erste Früchte
    Date
    22. 7.2000 19:01:54
  11. Zilm, G.: "Kl ist ein glorifizierter Taschenrechner" (2023) 0.06 
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    Abstract
    Künstliche Intelligenz zieht immer mehr in unseren Alltag ein. Dies macht vielen Angst. Sie fürchten, der Mensch könne die Kontrolle über Kl verlieren. Wie das verhindert werden kann, darüber macht sich das Ethik-Team am Deutschen Forschungszentrum für Künstliche Intelligenz Gedanken. Das DFKI hat mehrere Standorte, die Zentrale ist in Kaiserslautern.
    Date
    27. 1.2023 16:22:55
  12. Herb, U.; Beucke, D.: ¬Die Zukunft der Impact-Messung : Social Media, Nutzung und Zitate im World Wide Web (2013) 0.06 
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    Content
    Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.
  13. Rötzer, F.: Psychologen für die Künstliche Intelligenz (2018) 0.06 
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    Abstract
    Künstliche Intelligenz kann lernen anhand von Erfahrungen und Vorgaben. Das Problem ist aber, dass sich maschinelles Lernen zwar in eine bestimmte Richtung steuern lässt, um bestimmte Probleme zu lösen, dass aber der Programmierer mitunter nicht mehr weiß, was in dem "künstlichen Gehirn" bzw. dem neuronalen Netzwerk vor sich geht, das mit zunehmender Komplexität und Lernerfahrung für den Menschen zur Black Box wird, wo man nur sehen kann, was an Daten einfließt und was herauskommt.
    Date
    22. 1.2018 11:08:27
    Source
    https://www.heise.de/tp/features/Psychologen-fuer-die-Kuenstliche-Intelligenz-3947256.html?view=print
  14. Neunzert, H.: Mathematische Modellierung : ein "curriculum vitae" (2012) 0.06 
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    Content
    Vortrag auf der Tagung "Geschichte und Modellierung", Jena, 3. Februar 2012. Vgl. unter: http://www.fmi.uni-jena.de/Fakult%C3%A4t/Institute+und+Abteilungen/Abteilung+f%C3%BCr+Didaktik/Kolloquien.html?highlight=neunzert.
  15. Zschunke, P.: Intelligenz nach Bauplan : "Computer sind dumm" - mit diesem Vorurteil muß man wohl in Zukunft vorsichtig sein. Neuronale Netze simulieren den Schaltplan des Gehirns. Sie sind lernfähig und fehlertolerant (1997) 0.06 
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    Date
    18. 1.1997 12:15:22
  16. Sieglerschmidt, J.: Wissensordnungen im analogen und im digitalen Zeitalter (2017) 0.05 
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    Content
    Vgl. unter: https://books.google.de/books?hl=de&lr=&id=0rtGDwAAQBAJ&oi=fnd&pg=PA35&dq=inhaltserschlie%C3%9Fung+OR+sacherschlie%C3%9Fung&ots=5u0TwCbFqE&sig=GGw3Coc21CINkone-6Lx8LaSAjY#v=onepage&q=inhaltserschlie%C3%9Fung%20OR%20sacherschlie%C3%9Fung&f=false.
  17. Sokolow, A.: Es menschelt in der KI-Welt (2023) 0.05 
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    Abstract
    Für die junge Branche ist es ein Erdbeben: OpenAl-Chef Sam Altman, eine ihrer Galionsfiguren, verliert seinen Job. Mit ChatGPT haben OpenAl und Altman den Hype um Künstliche Intelligenz angestoßen.
    Date
    27. 1.2023 16:22:55
  18. Hartnett, K.: Sind Sprachmodelle bald die besseren Mathematiker? (2023) 0.04 
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    Series
    Künstliche Intelligenz
  19. Siekmann, J.H.: Künstliche Intelligenz (1994) 0.04 
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    Source
    Geist - Gehirn - Künstliche Intelligenz: zeitgenössische Modelle des Denkens. Ringvorlesung an der Freien Universität. Hrsg.: S. Krämer
  20. Hoffmann, A.: Auf der Suche nach den Prinzipien der künstlichen Intelligenz (1995) 0.04 
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    Source
    Künstliche Intelligenz. 1995, H.6, S.35-41

Authors

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