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Herausgeber: 
  • Ronald R. Yager
  • Lorenza Saitta
  • Bernadette Bouchon
  • Uncertainty and Intelligent Systems: 2nd International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems I 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Juni 1988  
    Genre:  EDV / Informatik 
     
    ArtificialIntelligence / BayesianInference / expertsystem / Fuzzy / fuzzylogic / Human-ComputerInteraction(HCI) / intelligence / IntelligentSystems
    ISBN:  9783540194026 
    EAN-Code: 
    9783540194026 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 23 mm 
    Gewicht:  633 gr 
    Seiten:  420 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book contains the papers presented at the 2nd IPMU Conference, held in Urbino (Italy), on July 4-7, 1988. The theme of the conference, Management of Uncertainty and Approximate Reasoning, is at the heart of many knowledge-based systems and a number of approaches have been developed for representing these types of information. The proceedings of the conference provide, on one hand, the opportunity for researchers to have a comprehensive view of recent results and, on the other, bring to the attention of a broader community the potential impact of developments in this area for future generation knowledge-based systems. The main topics are the following: frameworks for knowledge-based systems: representation scheme, neural networks, parallel reasoning schemes; reasoning techniques under uncertainty: non-monotonic and default reasoning, evidence theory, fuzzy sets, possibility theory, Bayesian inference, approximate reasoning; information theoretical approaches; knowledge acquisition and automated learning. TOC:Contents: Evidence Combination.- Fuzzy Mathematics.- Fuzzy Sets and Possibility Theory.- Information Theory.- Intelligent Data Base.- Knowledge Acquisition and Machine Learning.- Knowledge Representation.- Logics for Artificial Intelligence.- Neural Nets.- Reasoning Techniques Under Uncertainty.- Late Arrivals.- Invited Paper.
      



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