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Architecture Of Systems Problem Solving 2003 Edition at Meripustak

Architecture Of Systems Problem Solving 2003 Edition

Books from same Author: George J. Klir Doug Elias

Books from same Publisher: Springer

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    • General Information  
    Author(s)George J. Klir Doug Elias
    PublisherSpringer
    ISBN9780306473579
    Pages349
    BindingHardback
    LanguageEnglish
    Publish YearApril 2003

    Description

    Springer Architecture Of Systems Problem Solving 2003 Edition by George J. Klir Doug Elias

    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 architecturewhich 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. Table of contents : 1. Introduction. 2. Source and Data Systems. 3. Generative systems. 4. Structure Systems. 5. Metasystems. A. Complexity. B. Goal-Oriented. C. System Similarity. 6. Architecture Use Evolution. Appendices. References. Subject Index. Author Index.