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Knowledge-Based Systems in Astronomy

  • Book
  • © 1989

Overview

Editors:
  1. A. Heck
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  2. F. Murtagh
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Part of the book series: Lecture Notes in Physics (LNP, volume 329)

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Table of contents (13 chapters)

  1. Front Matter

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  2. Artificial intelligence applications for Hubble Space Telescope operations

    • Glenn Miller
    Pages 3-31

  3. Knowledge based telescope scheduling

    • Mark D. Johnston
    Pages 33-49

  4. Survey work with automated data analysis

    • D. Teuber, P. Schuecker, H. Horstmann
    Pages 51-68

  5. Distributed point-pattern matching

    • George R. Cross, Rittick Gupta
    Pages 69-77

  6. Decision problems in the search for periodicities in gamma-ray astronomy. How can A.I. help?

    • M. C. Maccarone, R. Buccheri
    Pages 79-87

  7. Classification and knowledge

    • Michael J. Kurtz
    Pages 89-106

  8. WOLF — A computer expert system for sunspot classification and solar flare prediction

    • Richard W. Miller
    Pages 107-120

  9. Knowledge based classification of galaxies

    • Monique Thonnat, Albert Bijaoui
    Pages 121-159

  10. Classification of IUE spectra: A rule based approach

    • Fionn Murtagh, André Heck, Roberto Rampazzo
    Pages 161-167

  11. Representation of knowledge using Fuzzy set theory

    • Vito Di Gesú
    Pages 169-189

  12. An approach to heuristic exploitation of astronomers' knowledge in automatic interpretation of optical pictures

    • A. Accomazzi, G. Bordogna, P. Mussio, A. Rampini
    Pages 191-212

  13. Connectionism and neural networks

    • H. -M. Adorf
    Pages 213-245

  14. Applications of AI in astronomy: A view towards the future

    • R. Albrecht
    Pages 247-258

  15. Back Matter

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Keywords

About this book

This book gives a synthesis of the state of the art in artificial intelligence in astronomy and astrophysics, presents its current applications and points out directions of future work. The individual chapters report on the application of artificial intelligence techniques for large astronomical surveys, for processing cosmic ray data, for facilitating data reduction using image processing systems, for telescope scheduling, for observatory ground support operations, for observation proposal preparation assistance, and for scientific applications such as stellar spectral and galaxy morphology classification. The new field of connectionism (neural networks) is also surveyed. The book is designed to be self-contained: a glossary of terms used in this area is provided and an index of terms, acronyms and proper names completes the book.

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