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Advances in Artificial Intelligence

Natural Language and Knowledge-based Systems

  • Book
  • © 1990

Overview

Editors:
  1. Martin Charles Golumbic

    1. IBM T.J. Watson Research Center, Yorktown Heights, USA
      IBM Israel Scientific Center, Technion City, Haifa, Israel

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xii
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  2. Learning from Experience in Board Games

    • Ze’ev Ben-Porat, Martin Charles Golumbic
    Pages 1-25

  3. PRODS: A Prototype Based Design Shell for Prototype Selection and Prototype Refinement

    • Rivka E. Oxman
    Pages 26-42

  4. What’s in a Joke?

    • Michal Ephratt
    Pages 43-74

  5. Machinery for Hebrew Word Formation

    • Uzzi Ornan
    Pages 75-93

  6. Theory Formation for Interpreting an Unknown Language

    • Ephraim Nissan
    Pages 95-113

  7. Ontology, Sublanguage, and Semantic Networks in Natural Language Processing

    • Victor Raskin
    Pages 114-128

  8. An Incremental Conceptual Clustering Algorithm that Reduces Input-Ordering Bias

    • Yoëlle S. Maarek
    Pages 129-144

  9. Anticipating a Listener’s Response in Text Planning

    • Ingrid Zukerman
    Pages 145-170

  10. Towards an Intelligent Finite Element Training System

    • Alex Bykat
    Pages 171-181

  11. Bayesian Inference in an Expert System without Assuming Independence

    • Alex Gammerman, A. R. Thatcher
    Pages 182-218

  12. A Partial Orders Semantics for Constraint Based Systems

    • Steven A. Battle
    Pages 219-226

  13. Partial Orders as a Basis for KBS Semantics

    • Simon P. H. Morgan, John G. Gammack
    Pages 227-246

  14. A Heuristic Search Approach to Planning and Scheduling Software Manufacturing Projects

    • Ali Safavi, Stephen F. Smith
    Pages 247-268

  15. From Data to Knowledge Bases

    • Martin Charles Golumbic, Dennis Grinberg
    Pages 269-294

  16. Back Matter

    Pages 295-303
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Keywords

About this book

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.

Editors and Affiliations

  • IBM T.J. Watson Research Center, Yorktown Heights, USA

    Martin Charles Golumbic

  • IBM Israel Scientific Center, Technion City, Haifa, Israel

    Martin Charles Golumbic

Bibliographic Information

  • Book Title: Advances in Artificial Intelligence

  • Book Subtitle: Natural Language and Knowledge-based Systems

  • Editors: Martin Charles Golumbic

  • DOI: https://doi.org/10.1007/978-1-4613-9052-7

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York Inc. 1990

  • Softcover ISBN: 978-1-4613-9054-1Published: 21 October 2011

  • eBook ISBN: 978-1-4613-9052-7Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XIV, 303

  • Topics: Artificial Intelligence, Natural Language Processing (NLP)

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