Skip to main content
SpringerLink
Log in

GWAI-86 und 2. Österreichische Artificial-Intelligence-Tagung

Ottenstein/Niederösterreich, September 22–26, 1986

  • Conference proceedings
  • © 1986

Overview

Editors:
  1. Claus-Rainer Rollinger

    1. IBM Deutschland GmbH, Stuttgart 80, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Werner Horn

    1. Institut für Medizinische Kybernetik und Artificial Intelligence, Universität Wien, Wien, Austria

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Informatik-Fachberichte (INFORMATIK, volume 124)

Part of the book sub series: Subreihe Künstliche Intelligenz (2252)

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

Access this book

Log in via an institution

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (35 papers)

  1. Front Matter

    Pages I-X
    Download chapter PDF

  2. AI — NIE! Versuch über eine wahrscheinliche zukünftige Reaktion der Öffentlichkeit

    1. AI — NIE! Versuch über eine wahrscheinliche zukünftige Reaktion der Öffentlichkeit

      • Robert Trappt
      Pages 1-16

  3. Suchen, Problemlösen

    1. Decision Making in Unclear Situations

      • Helmut Horacek, Hermann Kaindl, Marcus Wagner
      Pages 17-27

    2. State Space Algorithms for Searching Game Trees

      • Alexander Reinefeld
      Pages 28-33

  4. Repräsentation von Wissen

    1. Explicit and Implicit Beliefs

      • Włodzimierz Zadroƶny
      Pages 34-45

    2. Facetten-Logik: eine untypische Logik zum prototypischen Schließen

      • Joachim Hertzberg
      Pages 46-57

    3. Semantic Networks with Number Restricted Roles or Another Story about Clyde

      • Kai v. Luck
      Pages 58-68

    4. Data Models in Knowledge Representation Systems: A Case Study

      • Jürgen Edelmann, Bernd Owsnicki
      Pages 69-74

    5. Nigel Gets To Know Logic

      • Bernhard Nebel, Norman K. Sondheimer
      Pages 75-86

  5. Natürlichsprachliche Systeme

    1. Syntaktische und Semantische Generalisierungen im Strukturierten Lexikon

      • Hans Uszkoreit
      Pages 87-100

    2. The Choice of Words in the Generation Process of a Natural Language Interface

      • Helmut Horacek
      Pages 101-112

    3. Generierung Mit Lexical — Functional Grammar (LFG)

      • Justus Meier, Jörg Kindermann
      Pages 113-118

    4. Processing Descriptions containing Words and Gestures — A System Architecture

      • Jürgen Allgayer, Carola Reddig
      Pages 119-130

    5. Wortorientiertes Parsing mit erweiterter Chart-Repräsentation

      • Michael Eimermacher
      Pages 131-142

    6. An Efficient Parser for Lexical Functional Grammar

      • Jörg Kindermann, Justus Meier
      Pages 143-148

  7. Maschinelles Lernen

    1. Learning Expert Knowledge and Theorem Proving

      • Yves Kodratoff
      Pages 164-179

    2. Machine Learning as a Tool for Building a Deterministic Parser

      • Gil Francopoulo
      Pages 181-192

    3. Generierung struktureller Konzepte im Version-Space

      • Thomas Hoppe
      Pages 193-198
Back to top

Keywords

About this book

Decision makinq in larqe domains very often involves the necessity to handle unclear situations. So the ability to base ones decisions on estimates is important in real life as well as in complicated qames. Siqnificantly, even the analysis of chess positions by qrandmasters often results in the conclusion "unclear". The conventional methods in two-person qames (which are by far the most successful ones up to now) use point-values and depth-first (alpha-beta) minimax search (mostly in a brute-force manner). Unfortunately, this approach has a fundamental drawback in unclear situations: it iqnores the uncertainty of the values. Even refinements like quiescence search [4] or extendinq the horizon of the fUll-width search (e.q. by not-countinq certain moves as a ply of depth) [5] cannot completely resolve this defect. Another method proposed by Pearl [7] treats estimated values as probabilities and uses a product propaqation rule. This way the uncertainty of values is qiven too much emphasis and it seems not to be used in practical proqrams. Additionally, this method requires searchinq of the whole tree unlike alpha-beta minimax. Much more convenient for our problem are methods usinq ranqes U, 8] or even probability distributions [6] as values. Unfortunately, they are impracticable for a larqe domain up to now, because of the qreat difficulty in findinq valid bounds (parameters of the distribution). consequently, the converqence of such searches is very hard to quarantee.

Editors and Affiliations

  • IBM Deutschland GmbH, Stuttgart 80, Germany

    Claus-Rainer Rollinger

  • Institut für Medizinische Kybernetik und Artificial Intelligence, Universität Wien, Wien, Austria

    Werner Horn

Bibliographic Information

  • Book Title: GWAI-86 und 2. Österreichische Artificial-Intelligence-Tagung

  • Book Subtitle: Ottenstein/Niederösterreich, September 22–26, 1986

  • Editors: Claus-Rainer Rollinger, Werner Horn

  • Series Title: Informatik-Fachberichte

  • DOI: https://doi.org/10.1007/978-3-642-71385-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1986

  • Softcover ISBN: 978-3-540-16808-9Due: 01 September 1986

  • eBook ISBN: 978-3-642-71385-9Published: 06 December 2012

  • Series ISSN: 0343-3005

  • Edition Number: 1

  • Number of Illustrations: 4 b/w illustrations

  • Topics: Artificial Intelligence

Publish with us

Policies and ethics

Back to top

Search

Navigation