Advances in Artificial Intelligence

Natural Language and Knowledge-based Systems

  • Martin Charles Golumbic

Table of contents

  1. Front Matter
    Pages i-xii
  2. Ze’ev Ben-Porat, Martin Charles Golumbic
    Pages 1-25
  3. Michal Ephratt
    Pages 43-74
  4. Uzzi Ornan
    Pages 75-93
  5. Alex Gammerman, A. R. Thatcher
    Pages 182-218
  6. Simon P. H. Morgan, John G. Gammack
    Pages 227-246
  7. Martin Charles Golumbic, Dennis Grinberg
    Pages 269-294
  8. Back Matter
    Pages 295-303

About this book

Introduction

Research in artificial intelligence, natural language processing and knowledge-based systems has blossomed during the past decade. At national and international symposia as well as in research centers and universities all over the world, these subjects have been the focus of intense debate and study. This is equally true in Israel which has hosted several international forums on these topics. The articles in this book represent a selection of contributions presented at recent AI conferences held in Israel. A theoretical model for a system that learns from its own experience in playing board games is presented in Learning from Experience in Board Games by Ze'ev Ben-Porat and Martin Golumbic. The model enables such a system to enhance and improve its playing capabilities through the use of a learning mechanism which extracts knowledge from actual playing experience. The learning process requires no external guidance or assistance. This model was implemented and tested on a variant of "Chinese Checkers. " The paper shows the feasibility and validity of the proposed model and investigates the parameters that affect its performance traits. The experimental results give evidence of the validity of the model as a powerful learning mechanism. Original and general algorithms for knowledge extraction and pattern matching were designed and tested as part of the prototype computer system. Analysis of the performance characteristics of these algorithms indicates that they can handle large knowledge bases in an efficient manner.

Keywords

Pattern Matching artificial intelligence expert system intelligence knowledge knowledge base knowledge-based system knowledge-based systems learning natural language natural language processing ontology

Editors and affiliations

  • Martin Charles Golumbic
    • 1
    • 2
  1. 1.IBM T.J. Watson Research CenterYorktown HeightsUSA
  2. 2.IBM Israel Scientific CenterTechnion City, HaifaIsrael

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4613-9052-7
  • Copyright Information Springer-Verlag New York 1990
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-9054-1
  • Online ISBN 978-1-4613-9052-7
  • About this book