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  1. McCorduck, P.: Denkmaschinen : die Geschichte der künstlichen Intelligenz (1987) 0.03
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    Footnote
    Originaltitel: Machines who think: a personal inquiry into the history and prospects of artificial intelligence
    Imprint
    Haar bei München : Markt-u.-Technik-Verl.
  2. Handbuch der Künstlichen Intelligenz (2003) 0.02
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    Date
    21. 3.2008 19:10:22
    Editor
    Görz, G. u.a.
  3. Handbook on ontologies (2004) 0.01
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    Abstract
    An ontology is a description (like a formal specification of a program) of concepts and relationships that can exist for an agent or a community of agents. The concept is important for the purpose of enabling knowledge sharing and reuse. The Handbook on Ontologies provides a comprehensive overview of the current status and future prospectives of the field of ontologies. The handbook demonstrates standards that have been created recently, it surveys methods that have been developed and it shows how to bring both into practice of ontology infrastructures and applications that are the best of their kind.
    Editor
    Staab, S. u. R. Studer
  4. Reimer, U.: Einführung in die Wissensrepräsentation : netzartige und schema-basierte Repräsentationsformate (1991) 0.00
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  5. Zur Konstruktion künstlicher Gehirne (2009) 0.00
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    Editor
    Ramacher, U.
  6. Hodgson, J.P.E.: Knowledge representation and language in AI (1991) 0.00
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    Abstract
    The aim of this book is to highlight the relationship between knowledge representation and language in artificial intelligence, and in particular on the way in which the choice of representation influences the language used to discuss a problem - and vice versa. Opening with a discussion of knowledge representation methods, and following this with a look at reasoning methods, the author begins to make his case for the intimate relationship between language and representation. He shows how each representation method fits particularly well with some reasoning methods and less so with others, using specific languages as examples. The question of representation change, an important and complex issue about which very little is known, is addressed. Dr Hodgson gathers together recent work on problem solving, showing how, in some cases, it has been possible to use representation changes to recast problems into a language that makes them easier to solve. The author maintains throughout that the relationships that this book explores lie at the heart of the construction of large systems, examining a number of the current large AI systems from the viewpoint of representation and language to prove his point.
  7. Schöneburg, E.; Hansen, N.; Gawelczyk, A.: Neuronale Netzwerke : Einführung, Überblick, Anwendungsmöglichkeiten (1992) 0.00
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