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Advanced Topics in Artificial Intelligence

International Summer School, Prague, Czechoslovakia, July 6-17, 1992. Proceedings

  • Conference proceedings
  • © 1992

Overview

Editors:
  1. Vladimír Mřrík
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  2. Olga Štěpánková
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  3. Rorbert Trappl
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 617)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (26 papers)

  1. Front Matter

    Download chapter 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
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Keywords

About this book

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

Bibliographic Information

  • Book Title: Advanced Topics in Artificial Intelligence

  • Book Subtitle: International Summer School, Prague, Czechoslovakia, July 6-17, 1992. Proceedings

  • Editors: Vladimír Mřrík, Olga Štěpánková, Rorbert Trappl

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-55681-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1992

  • Softcover ISBN: 978-3-540-55681-7Published: 24 June 1992

  • eBook ISBN: 978-3-540-47271-1Published: 05 July 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 488

  • Topics: Artificial Intelligence

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