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  1. Verwer, K.: Freiheit und Verantwortung bei Hans Jonas (2011) 0.36
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    Content
    Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.
  2. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.30
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    Source
    http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
  3. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.25
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  4. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.25
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  5. Suchenwirth, L.: Sacherschliessung in Zeiten von Corona : neue Herausforderungen und Chancen (2019) 0.25
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    Footnote
    https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.
  6. Shala, E.: ¬Die Autonomie des Menschen und der Maschine : gegenwärtige Definitionen von Autonomie zwischen philosophischem Hintergrund und technologischer Umsetzbarkeit (2014) 0.24
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    Abstract
    Werden Maschinen mit Begriffen beschrieben, die ursprünglich der Beschreibung des Menschen dienen, so liegt zunächst der Verdacht nahe, dass jene Maschinen spezifischmenschliche Fähigkeiten oder Eigenschaften besitzen. Für körperliche Fähigkeiten, die mechanisch nachgeahmt werden, hat sich in der Alltagssprache eine anthropomorphisierende Sprechweise bereits etabliert. So wird kaum in Frage gestellt, dass bestimmte Maschinen weben, backen, sich bewegen oder arbeiten können. Bei nichtkörperlichen Eigenschaften, etwa kognitiver, sozialer oder moralischer Art sieht dies jedoch anders aus. Dass mittlerweile intelligente und rechnende Maschinen im alltäglichen Sprachgebrauch Eingang gefunden haben, wäre jedoch undenkbar ohne den langjährigen Diskurs über Künstliche Intelligenz, welcher insbesondere die zweite Hälfte des vergangenen Jahrhunderts geprägt hat. In jüngster Zeit ist es der Autonomiebegriff, welcher zunehmend Verwendung zur Beschreibung neuer Technologien findet, wie etwa "autonome mobile Roboter" oder "autonome Systeme". Dem Begriff nach rekurriert die "Autonomie" jener Technologien auf eine bestimmte Art technologischen Fortschritts, die von der Fähigkeit zur Selbstgesetzgebung herrührt. Dies wirft aus philosophischer Sicht jedoch die Frage auf, wie die Selbstgesetzgebung in diesem Fall definiert ist, zumal sich der Autonomiebegriff in der Philosophie auf die politische oder moralische Selbstgesetzgebung von Menschen oder Menschengruppen beziehungsweise ihre Handlungen bezieht. Im Handbuch Robotik hingegen führt der Autor geradezu beiläufig die Bezeichnung "autonom" ein, indem er prognostiziert, dass "[.] autonome Roboter in Zukunft sogar einen Großteil der Altenbetreuung übernehmen werden."
    Footnote
    Vgl. unter: https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=2ahUKEwizweHljdbcAhVS16QKHXcFD9QQFjABegQICRAB&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F271200105_Die_Autonomie_des_Menschen_und_der_Maschine_-_gegenwartige_Definitionen_von_Autonomie_zwischen_philosophischem_Hintergrund_und_technologischer_Umsetzbarkeit_Redigierte_Version_der_Magisterarbeit_Karls&usg=AOvVaw06orrdJmFF2xbCCp_hL26q.
  7. Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008) 0.24
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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.
  8. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.24
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    Source
    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  9. Friederici, A.: Gehirn und Sprache : Neurobiologische Grundlagen der Sprachverarbeitung (1994) 0.23
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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
  10. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.22
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    Abstract
    While classifications are heavily used to categorize web content, the evolution of the web foresees a more formal structure - ontology - which can serve this purpose. Ontologies are core artifacts of the Semantic Web which enable machines to use inference rules to conduct automated reasoning on data. Lightweight ontologies bridge the gap between classifications and ontologies. A lightweight ontology (LO) is an ontology representing a backbone taxonomy where the concept of the child node is more specific than the concept of the parent node. Formal lightweight ontologies can be generated from their informal ones. The key applications of formal lightweight ontologies are document classification, semantic search, and data integration. However, these applications suffer from the following problems: the disambiguation accuracy of the state of the art NLP tools used in generating formal lightweight ontologies from their informal ones; the lack of background knowledge needed for the formal lightweight ontologies; and the limitation of ontology reuse. In this dissertation, we propose a novel solution to these problems in formal lightweight ontologies; namely, faceted lightweight ontology (FLO). FLO is a lightweight ontology in which terms, present in each node label, and their concepts, are available in the background knowledge (BK), which is organized as a set of facets. A facet can be defined as a distinctive property of the groups of concepts that can help in differentiating one group from another. Background knowledge can be defined as a subset of a knowledge base, such as WordNet, and often represents a specific domain.
    Content
    PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.
  11. Moravec, H.P.: Mind children : der Wettlauf zwischen menschlicher und künstlicher Intelligenz (1990) 0.22
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    RSWK
    Künstliche Intelligenz
    Gehirn / Künstliche Intelligenz
    Künstliche Intelligenz / Gehirn / Evolution
    Intelligenz / Künstliche Intelligenz
    Subject
    Künstliche Intelligenz
    Gehirn / Künstliche Intelligenz
    Künstliche Intelligenz / Gehirn / Evolution
    Intelligenz / Künstliche Intelligenz
  12. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.21
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    Content
    Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
  13. Gödert, W.; Lepsky, K.: Informationelle Kompetenz : ein humanistischer Entwurf (2019) 0.21
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    Footnote
    Rez. in: Philosophisch-ethische Rezensionen vom 09.11.2019 (Jürgen Czogalla), Unter: https://philosophisch-ethische-rezensionen.de/rezension/Goedert1.html. In: B.I.T. online 23(2020) H.3, S.345-347 (W. Sühl-Strohmenger) [Unter: https%3A%2F%2Fwww.b-i-t-online.de%2Fheft%2F2020-03-rezensionen.pdf&usg=AOvVaw0iY3f_zNcvEjeZ6inHVnOK]. In: Open Password Nr. 805 vom 14.08.2020 (H.-C. Hobohm) [Unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzE0MywiOGI3NjZkZmNkZjQ1IiwwLDAsMTMxLDFd].
  14. Calvin, W.H.: Wie das Gehirn denkt : die Evolution der Intelligenz (1998) 0.21
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    Abstract
    Denken, Intelligenz, Sprache, Bewußtsein - sind sie alle das Ergebnis von neuronalen Selektionsprozessen? Werden Gedankeninhalte, Wörter, Handlungsmuster vorsortiert, ehe sie uns überhaupt bewußt werden? Ist unser Gehirn eine Darwin-Maschine? William Calvin vermittelt in diesem originellen und spannenden Buch eine neue Sicht auf die Arbeitsweise des menschlichen Gehirns und die Entstehung von Intelligenz. Seine unterhaltsame Führung endet mit einem Blick in die Zukunft. Denn die Evolution der Intelligenz ist keineswegs beendet. Aber sie scheint nun eine nichtbiologische Richtung zu nehmen: An die Seite der natürlichen Intelligenz tritt die künstliche, und der Bau wirklich intelligenter Maschinen ist für Calvin nur eine Frage der Zeit. Treten wir in eine neue Phase des Wettrüstens ein, diesmal von menschlicher gegen maschinelle Intelligenz?
    RSWK
    Gehirn / Evolution / Intelligenz (213) (321)
    Subject
    Gehirn / Evolution / Intelligenz (213) (321)
  15. Münkel, A. (Red.): Computer.Gehirn : was kann der Mensch? Was können die Computer? ; Begleitpublikation zur Sonderausstellung im Heinz-Nixdorf-MuseumsForum (2001) 0.21
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    Abstract
    Was kann der Mensch? Was können die Computer? Was wissen wir über das rätselhafteste Organ des menschlichen Körpers, das Gehirn und seine Funktionen? Lässt sich das Gehirn einfach nachbauen? Kann es wirklich Elektronenhirne geben? Schon längst ist der Computer im Schachspiel kaum noch zu schlagen. Aber wie sieht es mit anderen intelligenten Leistungen aus? Vor diesem Hintergrund wird zum Beginn des neuen Jahrtausends mit der Sonderausstellung "Computer.Gehirn" im Heinz Nixdorf MuseumsForum eine Zwischenbilanz gezogen. In dieser Begleitpublikation zur Ausstellung wird einerseits ein Leistungsvergleich zwischen Computern und dem menschlichen Gehirn geboten, andererseits werden die unterschiedlichen Funktionsprinzipien und Prozesse erklärt. Internationale Experten stellen den Stand der Forschung dar, ergänzt durch einen informativen Rundgang durch die Sonderausstellung.
    BK
    54.72 / Künstliche Intelligenz
    Classification
    54.72 / Künstliche Intelligenz
    Content
    Enthält auch die Beiträge: BROOKS, R.A.: Künstliche Intelligenz und Roboterentwicklung - RITTER, H.: Die Evolution der künstlichen Intelligenz - ENGEL, A.K. u. W. SINGER: Neuronale Grundlagen des Bewußtseins - METZINGER, T.: Postbiotisches Bewußtsein: wie man ein künstliches Subjekt baut - und warum wir es nicht tun sollten - HARA, F.: Gesichtsrobotik und emotional computing
    RSWK
    Gehirn / Bewusstsein / Computer / Aufsatzsammlung
    Roboter / Künstliche Intelligenz / Aufsatzsammlung
    KI / Künstliche Intelligenz / Roboter / Fuzzylogik (ÖVK)
    Roboter / Künstliche Intelligenz / Mensch / Intelligenz / Ausstellung / Paderborn <2001> (HeBIS)
    Gehirn / Bewusstsein / Computer / Ausstellung / Paderborn «2001» (BVB)
    Roboter / Künstliche Intelligenz / Ausstellung / Paderborn «2001» (BVB)
    Subject
    Gehirn / Bewusstsein / Computer / Aufsatzsammlung
    Roboter / Künstliche Intelligenz / Aufsatzsammlung
    KI / Künstliche Intelligenz / Roboter / Fuzzylogik (ÖVK)
    Roboter / Künstliche Intelligenz / Mensch / Intelligenz / Ausstellung / Paderborn <2001> (HeBIS)
    Gehirn / Bewusstsein / Computer / Ausstellung / Paderborn «2001» (BVB)
    Roboter / Künstliche Intelligenz / Ausstellung / Paderborn «2001» (BVB)
  16. Singer, W.: Hirnentwicklung oder die Suche nach Kohärenz (1994) 0.19
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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
  17. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.18
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    Footnote
    Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
  18. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.18
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  19. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.18
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  20. Axelos, C.; Flasch, K.; Schepers, H.; Kuhlen, R.; Romberg, R.; Zimmermann, R.: Allgemeines/Besonderes (1971-2007) 0.18
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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.

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