Architecture of Systems Problem Solving

  • George J. Klir
  • Doug Elias

Part of the IFSR International Series on Systems Science and Engineering book series (IFSR, volume 21)

Table of contents

  1. Front Matter
    Pages iii-xv
  2. George J. Klir, Doug Elias
    Pages 1-25
  3. George J. Klir, Doug Elias
    Pages 27-71
  4. George J. Klir, Doug Elias
    Pages 73-151
  5. George J. Klir, Doug Elias
    Pages 153-263
  6. George J. Klir, Doug Elias
    Pages 265-290
  7. George J. Klir, Doug Elias
    Pages 291-338
  8. Back Matter
    Pages 339-349

About this book


One criterion for classifying books is whether they are written for a single pur­ pose or for multiple purposes. This book belongs to the category of multipurpose books, but one of its roles is predominant-it is primarily a textbook. As such, it can be used for a variety ofcourses at the first-year graduate or upper-division undergraduate level. A common characteristic of these courses is that they cover fundamental systems concepts, major categories of systems problems, and some selected methods for dealing with these problems at a rather general level. A unique feature of the book is that the concepts, problems, and methods are introduced in the context of an architectural formulation of an expert system­ referred to as the general systems problem solver or aSPS-whose aim is to provide users ofall kinds with computer-based systems knowledge and methodo­ logy. Theasps architecture,which is developed throughout the book, facilitates a framework that is conducive to acoherent, comprehensive, and pragmaticcoverage ofsystems fundamentals-concepts, problems, and methods. A course that covers systems fundamentals is now offered not only in sys­ tems science, information science, or systems engineering programs, but in many programs in other disciplines as well. Although the level ofcoverage for systems science or engineering students is surely different from that used for students in other disciplines, this book is designed to serve both of these needs.


Problem solving Problem-solving calculus complexity computer information theory mathematics probability simulation statistics system variable

Authors and affiliations

  • George J. Klir
    • 1
  • Doug Elias
    • 2
  1. 1.State University of New York at BinghamtonBinghamtonUSA
  2. 2.Cornell UniversityIthacaUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2003
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-4846-7
  • Online ISBN 978-1-4419-9224-6
  • Series Print ISSN 1574-0463
  • Buy this book on publisher's site
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