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Table of contents

  1. Front Matter
    PDF
  2. AI: Introduction, paradigms, applications (including CBR), impacts, visions
    Robert Trappl
    Pages 1-24
  3. Artificial intelligence and connectionism: Some philosophical implications
    Ivan M. Havel
    Pages 25-41
  4. Logic for representing and implementing knowledge about system behaviour
    D. R. Gilbert, C. J. Hogger
    Pages 42-49
  5. Prolog: A step towards the future of programming
    Olga Štěpánková, Petr Štěpánek
    Pages 50-81
  6. An introduction to constraint logic programming
    Frank Kriwaczek
    Pages 82-94
  7. Logic and databases
    Johann Eder
    Pages 95-103
  8. Introduction to machine learning
    Miroslav Kubat
    Pages 104-138
  9. Approaches to inductive logic programming
    Pavel B. Brazdil
    Pages 139-160
  10. Advanced machine learning techniques for computer vision
    S. Moscatelli, Y. Kodratoff
    Pages 161-197
  11. Notes on current trends in AI planning
    Sam Steel
    Pages 198-207
  12. The application of reason maintenance systems in planning and scheduling
    Gerald Kelleher
    Pages 208-237
  13. Practical applications of planning tasks
    Jiří Lažanský
    Pages 238-244
  14. The role of uncertainty measures and principles in AI
    George J. Klir
    Pages 245-254
  15. Introduction to probabilistic methods of knowledge representation and processing
    Radim Jiroušek
    Pages 255-285
  16. On belief functions
    Petr Hájek, David Harmanec
    Pages 286-307
  17. Data analysis and uncertainty processing
    Zdeněk Kouba
    Pages 308-315
  18. Some aspects of knowledge engineering
    Vladimír Mřrík, Tomáš Vlček
    Pages 316-337
  19. An automatic knowledge acquisition tool
    Nicholas V. Findler
    Pages 338-367
  20. Distributed AI and its applications
    Jim Doran
    Pages 368-372
  21. Architectures for second generation knowledge based systems
    José Cuena
    Pages 373-403
  22. An introduction to qualitative reasoning
    Olga Štěpánková
    Pages 404-418
  23. Model-based diagnosis: An overview
    Igor Mozetič
    Pages 419-430
  24. Dynamic system simulation with qualitative differential equations
    Ivan Bratko
    Pages 431-439
  25. An introduction to neurocomputing and its possible role in AI
    Georg Dorffner
    Pages 440-464
  26. Intelligent presentation and dialogue management
    Ernest A. Edmonds, Bryan S. Murray
    Pages 465-476
  27. Linguistic aspects of natural language processing
    Eva Hajičová
    Pages 477-484
  28. Back Matter
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About these proceedings

Introduction

This volume contains the texts of 26 lectures and contributions to the program of the International Summer School on Advanced Topics in Artificial Intelligence held in Prague, Czechoslovakia, July 6-17, 1992. The summerschool was intended for (postgraduate) students, researchers and all those who want to learn about recent progress in both theoretical and applied AI. The papers in the volume are organized into nine parts: - Introduction - Logic and logic programming - Machine learning - Planning and scheduling - Uncertainty - Second generation expert systemsand knowledge engineering - Qualitative reasoning - Neurocomputing -Natural language and interfaces

Keywords

Knowledge Engineering Logic and Logic Programming Logisches Programmieren Processing Prolog Qualitative Reasoning Simulation Text Theorembeweisen (Kybern.) Uncertainty Wissensverarbeitung expert system knowledge base knowledge representation learning

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-55681-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 1992
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-55681-7
  • Online ISBN 978-3-540-47271-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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