Architecture of Systems Problem Solving

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Architecture of Systems Problem Solving

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Architecture of Systems Problem Solving

  • Marcă: Unbranded

379,00 RON

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Architecture of Systems Problem Solving

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. - Notes. - 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. - Notes. - Exercises. - 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. - Notes. - Exercises. - 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. - Notes. - Exercises. - 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. - Notes. - Exercises. - 6: Complexity. - 6. 1. Complexity in Systems Problem Solving. - 6. 2. Three Ranges of Complexity. - 6. 3. Measures of Systems Complexity. - 6. 4. Bremermann's Limit. - 6. 5. Computational Complexity. - 6. 6. Complexity Within GSPS. - Notes. -Exercises. - 7: Goal-Oriented Systems. - 7. 1. Primitive Basic and Supplementary Concepts. - 7. 2. Goal and Performance. - 7. 3. Goal-Oriented Systems. - 7. 4. Structure Systems as Paradigms of Goal-Oriented Behavior Systems. - 7. 5. Design of Goal-Oriented Systems. - 7. 6. Adaptive Systems. - 7. 7. Autopoietic Systems. - Notes. - Exercises. - 8: Systems Similarity. - 8. 1. Similarity. - 8. 2. Similarity and Models of Systems. - 8. 3. Models of Source Systems. - 8. 4. Models of Data Systems. - 8. 5. Models of Generative Systems. - 8. 6. Models of Structure Systems. - 8. 7. Models of Metasystems. - Notes. - Exercises. - 9: GSPS: Architecture USE Evolution. - 9. 1. Epistemological Hierarchy of Systems: Formal Definition. - 9. 2. Methodological Distinctions: A Summary. - 9. 3. Problem Requirements. - 9. 4. Systems Problems. - 9. 5. GSPS Conceptual Framework: Formal Definition. - 9. 6. Overview of GSPS Architecture. - 9. 7. GSPS Use: Some Case Studies. - 9. 8. GSPS Evolution. - Notes. - Exercises. - Appendices. - A: List of Symbols. - B: Glossary of Relevant Mathematical Terms. - C: Some Relevant Theorems. - D: Refinement Lattices. - E: Classes of Structures Relevant to Reconstructability Analysis. - References. - Author Index. Language: English
  • Marcă: Unbranded
  • Categorie: Calcul și internet
  • Artist: George J. Klir
  • Limbă: English
  • Număr de pagini: 540
  • Format: Paperback
  • Data publicării: 2012/10/15
  • Editor / Etichetă: Springer
  • ID Fruugo: 450895933-950606730
  • ISBN: 9781475711707

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