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Architecture of Systems Problem Solving: IFSR International Series in Systems Science and Systems Engineering, cartea 21

Autor George J. Klir, Doug Elias
en Limba Engleză Paperback – 14 sep 2012
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.
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Specificații

ISBN-13: 9781461348467
ISBN-10: 1461348463
Pagini: 368
Ilustrații: XV, 349 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.51 kg
Ediția:Softcover reprint of the original 2nd ed. 2003
Editura: Springer Us
Colecția Springer
Seria IFSR International Series in Systems Science and Systems Engineering

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

1 Introduction.- 1.1 Systems Science.- 1.2 Systems Problem Solving.- 1.3 Hierarchy of Epistemological Levels of Systems.- 1.4 The Role of Mathematics.- 1.5 The Role of Computer Technology.- 1.6 Architecture of Systems Problem Solving.- 2 Source and Data Systems.- 2.1 Objects and Object Systems.- 2.2 Variables and Supports.- 2.3 Methodological Distinctions.- 2.4 Discrete versus Continuous.- 2.5 Image Systems and Source Systems.- 2.6 Data Systems.- 3 Generative Systems.- 3.1 Empirical Investigation.- 3.2 Behavior Systems.- 3.3 Methodological Distinctions.- 3.4 From Data Systems to Behavior Systems.- 3.5 Measures of Uncertainty.- 3.6 Search for Admissible Behavior Systems.- 3.7 State-Transition Systems.- 3.8 Generative Systems.- 3.9 Simplification of Generative Systems.- 3.10 Systems Inquiry and Systems Design.- 4 Structure Systems.- 4.1 Wholes and Parts.- 4.2 Systems, Subsystems, Supersystems.- 4.3 Structure Source Systems and Structure Data Systems.- 4.4 Structure Behavior Systems.- 4.5 Problems of Systems Design.- 4.6 Identification Problem.- 4.7 Reconstruction Problem.- 4.8 Reconstructability Analysis.- 4.9 Simulation Experiments.- 4.10 Inductive Reasoning.- 4.11 Inconsistent Structure Systems.- 5 Metasystems.- 5.1 Change versus Invariance.- 5.2 Primary and Secondary Systems Traits.- 5.3 Metasystems.- 5.4 Metasystems versus Structure Systems.- 5.5 Multilevel Metasystems.- 5.6 Identification of Change.- 6 GSPS: Architecture, Use, Evolution.- 6.1 Epistemological Hierarchy of Systems : Formal Definition.- 6.2 Methodological Distinctions: A Summary.- 6.3 Problem Requirements.- 6.4 Systems Problems.- 6.5 GSPS Conceptual Framework: Formal Definition.- 6.6 Overview of GSPS Architecture.- 6.7 GSPS Use: Some Case Studies.- 6.8 GSPS Evolution.- Author Index.

Caracteristici

Presents and deconstructs the fundamentals of an expert system and many associated examples Structures as an interdisciplinary that meets the needs of both systems science and engineering students Provides students with a broad base and promotes more in-depth study of the topic Researchers and practitioners benefit from discussion of tools and underdeveloped areas of research Valuable reference text for designers of expert systems