E-Book, Englisch, 447 Seiten, Web PDF
Rosen / Klir Anticipatory Systems
1. Auflage 2013
ISBN: 978-1-4832-8627-3
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark
Philosophical, Mathematical and Methodological Foundations
E-Book, Englisch, 447 Seiten, Web PDF
ISBN: 978-1-4832-8627-3
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark
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 embedded into a system of feedforward control. Includes many examples and stresses analogies between wired-in anticipatory control and processes of learning and adaption, at both individual and social levels. Shows how the basic theory of such systems throws a new light both on analytic problems (understanding what is going on in an organism or a social system) and synthetic ones (developing forecasting methods for making individual or collective decisions).
Autoren/Hrsg.
Weitere Infos & Material
1;Front Cover;1
2;Anticipatory Systems: Philosophical
Mathematical and Methodological Foundations;4
3;Copyright Page;5
4;Table of Contents;10
5;Foreword;6
6;Preface;8
7;Chapter 1. Preliminaries;12
7.1;1.1 General Introduction;12
7.2;1.2 The Reactive Paradigm: Its Basic Features;34
8;Chapter 2. Natural and Formal Systems;56
8.1;2.1 The Concept of a Natural System;56
8.2;2.2 The Concept of a Formal System;66
8.3;2.3 Encodings between Natural and Formal Systems;84
9;Chapter 3. The Modelling Relation;100
9.1;3.1 The Modelling Relation within Mathematics;100
9.2;3.2 Specific Encodings between Natural and Formal Systems;136
9.3;3.3 Encodings of Physical Systems;148
9.4;3.4 Encodings of Biological Systems: Preliminary Remarks;182
9.5;3.5 Specific Encodings of Biological Systems;188
9.6;3.6 Models, Metaphors and Abstractions;222
10;Chapter 4. The Encodings of Time;232
10.1;4.1 Time and Dynamics: Introductory Remarks;232
10.2;4.2 Time in Newtonian Dynamics;236
10.3;4.3 Time in Thermodynamics and Statistical Analysis;244
10.4;4.4 Probabilistic Time;254
10.5;4.5 Time in General Dynamical Systems;260
10.6;4.6 Time and Sequence: Logical Aspects of Time;268
10.7;4.7 Similarity and Time;276
10.8;4.8 Time and Age;282
11;Chapter 5. Open Systems and the Modelling Relation;288
11.1;5.1 General Introduction;288
11.2;5.2 Open, Closed and Compensated Systems;292
11.3;5.3 Compensation and Decompensation;300
11.4;5.4 The Main Theorem;304
11.5;5.5 Models as Closed Systems;310
11.6;5.6 The Concept of Error;318
11.7;5.7 Error and Complexity;332
11.8;5.8 Order and Disorder;336
11.9;5.9 The Stability of Modelling Relations;342
12;Chapter 6. Anticipatory Systems;350
12.1;6.1 General Introduction;350
12.2;6.2 An Example: Forward Activation;360
12.3;6.3 General Characteristics of Temporal Spanning;366
12.4;6.4 An Application: Senescence;372
12.5;6.5 Adaptation, Natural Selection and Evolution;382
12.6;6.6 Learning;396
12.7;6.7 Selection in Systems and Subsystems;402
12.8;6.8 Perspectives for the Future;410
13;Chapter 7. Appendix;416
14;Index;444
