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  • × classification_ss:"ST 285"
  1. Favre-Bulle, B.: Information und Zusammenhang : Informationsfluß in Prozessen der Wahrnehmung, des Denkens und der Kommunikation (2001) 0.03
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    Content
    Absolute und relative Perspektiven: Die Sterne des Orion; Babylonische Informationsverwirrungen; Eine Navigationshilfe.- Information: Informationsparadigmen; Information in der Nachrichtentechnik; Signale, Daten, Information und Wissen; Information und Bedeutung.- Konnektionistische Modelle: Ein konnektionistisches Informationsmodell; Informationsfluß im Netzmodell.- Wissen: Definition von Wissen; Klassifizierung von Wissen; Wissensrepräsentation.- Wahrnehmung und Denken: Kognition; Paradigmen und Modelle; Wahrnehmung; Kognitive Systeme und Kontext; Denken.- Kontext: Was ist Kontext?; Eine Kontext-Metapher; Die Logik und HOLMES; Das Konzept ist(c, p).- Sprache: Die sprachliche Dimension; Struktur der Sprache; Sprache als Medium der Information; Sprache und Kontext 1: Air Traffic Control; Sprache und Kontext 2: Japanisch. - Enthält Abschnitte zu: Kommunikation; Medien; Medienwissenschaft; Kognitionswissenschaft; Informatik; Wirtschaft
    Date
    22. 3.2008 14:53:43
  2. Nagao, M.: Knowledge and inference (1990) 0.01
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    Abstract
    Knowledge and Inference discusses an important problem for software systems: How do we treat knowledge and ideas on a computer and how do we use inference to solve problems on a computer? The book talks about the problems of knowledge and inference for the purpose of merging artificial intelligence and library science. The book begins by clarifying the concept of ""knowledge"" from many points of view, followed by a chapter on the current state of library science and the place of artificial intelligence in library science. Subsequent chapters cover central topics in the artificial intelligence: search and problem solving, methods of making proofs, and the use of knowledge in looking for a proof. There is also a discussion of how to use the knowledge system. The final chapter describes a popular expert system. It describes tools for building expert systems using an example based on Expert Systems-A Practical Introduction by P. Sell (Macmillian, 1985). This type of software is called an ""expert system shell."" This book was written as a textbook for undergraduate students covering only the basics but explaining as much detail as possible.