Theoretical Approaches to Non-Numerical Problem Solving | Proceedings of the IV Systems Symposium at Case Western Reserve University

R. B. Banerji (u. a.)

ISBN 10: 3540049002 / ISBN 13: 9783540049005

Published by Springer, 1970

About this Item

Theoretical Approaches to Non-Numerical Problem Solving | Proceedings of the IV Systems Symposium at Case Western Reserve University | R. B. Banerji (u. a.) | Taschenbuch | Lecture Notes in Economics and Mathematical Systems | vi | Englisch | Springer | EAN 9783540049005 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Bibliographic Details

• Title: Theoretical Approaches to Non-Numerical Problem Solving | Proceedings of the IV Systems Symposium at Case Western Reserve University
• Publisher: Springer
• Publication Date: 1970
• Language: English
• ISBN 10: 3540049002
• ISBN 13: 9783540049005
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 26D millimeters 254 millimeters width by 178 millimeters height by 26 millimeters depth
• Weight: 895 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Advances in computer technology have pointed out the next important area of computer applications: solution of non-numerical problems. It is hardly necessary to emphasize the importance of these kind of problems. First of all most of the decisions one has to make in real-life situations are non-numerical in the first instance and can be represented as numerical problems only as approximations which are often only partially valid. Second, to use the computer to its full potential it should be employed as a logical machine, capable of deduction, and not just as a numerical calculating machine. Thus the computer would extend man's capability for logical reasoning and not just for his capability to do fast and accurate calculation. It is not a new area; indeed non-numerical problems are central in fields such as artificial intelligence, heuristic programming, pattern recognition, classification and information-processing (and retrival) etc. However, it is fair to assess that progress in the area has not been quite as expected. One of the reasons was a lack of conceptual and theoretical framework in which to investigate different classes of non-numerical problems to improve understanding of various types of problems and methods for their solutions and furthermore to enable the methods which have been proven as effective in one situation to be used in another situation with appropriately similar structure.