Skip to main content
SpringerLink
Log in

Advanced Topics in Artificial Intelligence

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

  • Conference proceedings
  • © 1992

Overview

Editors:
  1. Vladimír Mřrík
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Olga Štěpánková
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Rorbert Trappl
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

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
Back to top

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

Publish with us

Policies and ethics

Back to top

Search

Navigation