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Herausgeber: 
  • Kurt Konolige
  • Pavel B Brazdil
  • Machine Learning, Meta-Reasoning and Logics 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Oktober 1989  
    Genre:  EDV / Informatik 
     
    Computers - General Information / COMPUTERS / Computer Science / COMPUTERS / Intelligence (AI) & Semantics
    ISBN:  9780792390473 
    EAN-Code: 
    9780792390473 
    Verlag:  Springer Us 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #82 - The Springer International Eng  
    Dimensionen:  H 254 mm / B 178 mm / D 21 mm 
    Gewicht:  826 gr 
    Seiten:  328 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book contains a selection of papers presented at the International Workshop Machine Learning, Meta-Reasoning and Logics held in Hotel de Mar in Sesimbra, Portugal, 15-17 February 1988. All the papers were edited afterwards. The Workshop encompassed several fields of Artificial Intelligence: Machine Learning, Belief Revision, Meta-Reasoning and Logics. The objective of this Workshop was not only to address the common issues in these areas, but also to examine how to elaborate cognitive architectures for systems capable of learning from experience, revising their beliefs and reasoning about what they know. Acknowledgements The editing of this book has been supported by COST-13 Project Machine Learning and Knowledge Acquisition funded by the Commission o/the European Communities which has covered a substantial part of the costs. Other sponsors who have supported this work were Junta Nacional de lnvestiga~ao Cientlfica (JNICT), lnstituto Nacional de lnvestiga~ao Cientlfica (INIC), Funda~ao Calouste Gulbenkian. I wish to express my gratitude to all these institutions. Finally my special thanks to Paula Pereira and AnaN ogueira for their help in preparing this volume. This work included retyping all the texts and preparing the camera-ready copy. Introduction 1 1. Meta-Reasoning and Machine Learning The first chapter is concerned with the role meta-reasoning plays in intelligent systems capable of learning. As we can see from the papers that appear in this chapter, there are basically two different schools of thought.

      



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