Architecture of Systems Problem Solving (IFSR International Series on Systems Science and Engineering)

George J. Klir, Doug Elias

ISBN 10: 0306473577 / ISBN 13: 9780306473579

Editore: Springer, 2003

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Cover and edges may have some wear. Cover shows minor wear. Codice articolo mon0001748101

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Titolo: Architecture of Systems Problem Solving (...

Casa editrice: Springer

Data di pubblicazione: 2003

Legatura: Hardcover

Condizione: Very Good

Edizione: seconda edizione

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Riassunto:

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.

Contenuti:

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.