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Anticipatory systems : philosophical, mathematical, and methodological foundations /
The first detailed study of this most important class of systems which contain internal predictive models of themselves and/or of their environments and whose predictions are utilized for purposes of present control. This book develops the basic concept of a predictive model, and shows how it can be...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Oxford, England ; New York :
Pergamon Press,
1985.
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| Edición: | 1st ed. |
| Colección: | IFSR international series on systems science and engineering ;
v. 1. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Anticipatory Systems: PhilosophicalMathematical and Methodological Foundations; Copyright Page; Foreword; Preface; Table of Contents; Chapter 1. Preliminaries; 1.1 General Introduction; 1.2 The Reactive Paradigm: Its Basic Features; Chapter 2. Natural and Formal Systems; 2.1 The Concept of a Natural System; 2.2 The Concept of a Formal System; 2.3 Encodings between Natural and Formal Systems; Chapter 3. The Modelling Relation; 3.1 The Modelling Relation within Mathematics; 3.2 Specific Encodings between Natural and Formal Systems; 3.3 Encodings of Physical Systems
- 3.4 Encodings of Biological Systems: Preliminary Remarks3.5 Specific Encodings of Biological Systems; 3.6 Models, Metaphors and Abstractions; Chapter 4. The Encodings of Time; 4.1 Time and Dynamics: Introductory Remarks; 4.2 Time in Newtonian Dynamics; 4.3 Time in Thermodynamics and Statistical Analysis; 4.4 Probabilistic Time; 4.5 Time in General Dynamical Systems; 4.6 Time and Sequence: Logical Aspects of Time; 4.7 Similarity and Time; 4.8 Time and Age; Chapter 5. Open Systems and the Modelling Relation; 5.1 General Introduction; 5.2 Open, Closed and Compensated Systems
- 5.3 Compensation and Decompensation5.4 The Main Theorem; 5.5 Models as Closed Systems; 5.6 The Concept of Error; 5.7 Error and Complexity; 5.8 Order and Disorder; 5.9 The Stability of Modelling Relations; Chapter 6. Anticipatory Systems; 6.1 General Introduction; 6.2 An Example: Forward Activation; 6.3 General Characteristics of Temporal Spanning; 6.4 An Application: Senescence; 6.5 Adaptation, Natural Selection and Evolution; 6.6 Learning; 6.7 Selection in Systems and Subsystems; 6.8 Perspectives for the Future; Chapter 7. Appendix; Index