|
Contents |
6 |
|
|
Preface |
10 |
|
|
Foreword |
16 |
|
|
Chapter 1 THE BACKGROUND TO SYSTEMICS |
18 |
|
|
1.1 Introduction |
18 |
|
|
1.2 What is Systemics ? |
20 |
|
|
1.3 A short, introductory history |
22 |
|
|
1.4 Fundamental theoretical concepts |
32 |
|
|
1.5 Sets, structured sets, systems and subsystems |
55 |
|
|
1.6 Other approaches |
58 |
|
|
Chapter 2 GENERALIZING SYSTEMICS AND THE ROLE OF THE OBSERVER |
64 |
|
|
2.1 The contribution of Von Foerster |
65 |
|
|
2.2 The role of Observer in scientific theories |
67 |
|
|
2.3 Uncertainty Principles in Science |
72 |
|
|
2.4 The DYnamic uSAge of Models (DYSAM) |
81 |
|
|
Chapter 3 EMERGENCE |
106 |
|
|
3.1 A short history of the concept |
106 |
|
|
3.2 Collective Beings |
114 |
|
|
Chapter 4 HOW TO MODEL EMERGENCE: TRADITIONAL METHODS |
161 |
|
|
4.1 A general classification of models of emergence |
161 |
|
|
4.2 Dynamical Systems Theory for modelling emergence: the basic concepts |
165 |
|
|
4.3 Dynamical Systems Theory for modelling emergence: bifurcation phenomena |
176 |
|
|
4.4 Emergence phenomena in spatio- temporal systems and Dissipative Structures |
187 |
|
|
4.5 The intrinsic limitations of traditional methods |
204 |
|
|
Chapter 5 HOW TO MODEL EMERGENCE: NON- TRADITIONAL METHODS |
211 |
|
|
5.1 Synergetics |
211 |
|
|
5.2 The theory of phase transitions |
217 |
|
|
5.3 Quantum Field Theory |
246 |
|
|
5.4 Spontaneous Symmetry Breaking |
255 |
|
|
5.5 Non-ideal models of emergence |
265 |
|
|
5.5.1 Neural Networks |
266 |
|
|
5.5.2 Cellular Automata |
277 |
|
|
5.5.3 Artificial Life |
281 |
|
|
5.6 The role of noise |
289 |
|
|
5.7 The relationship between traditional and non- traditional models |
295 |
|
|
Chapter 6 THE ROLE OF ERGODICITY |
307 |
|
|
6.1 Some definitions related to ergodicity |
309 |
|
|
6.2 Ergodicity and stationarity |
316 |
|
|
6.3 Ergodicity in Collective Beings |
318 |
|
|
6.4 Emergence, Collective Beings and Ergodicity |
322 |
|
|
6.5 Further considerations |
325 |
|
|
6.6 Some remarks and possible lines of research |
329 |
|
|
Chapter 7 APPLICATIONS TO SOCIAL SYSTEMS ( 1) |
336 |
|
|
7.1 Growth, Development and Sustainable Development |
338 |
|
|
7.2 Ethics |
351 |
|
|
Chapter 8 APPLICATIONS TO SOCIAL SYSTEMS ( 2): |
368 |
|
|
8.1 Systems Archetypes and Collective Beings |
368 |
|
|
8.2 Virtual systems |
374 |
|
|
8.3 Other applications |
386 |
|
|
Chapter 9 APPLICATIONS TO COGNITIVE SYSTEMS: BEYOND COMPUTATIONALISM |
401 |
|
|
9.1 TRADITIONAL COGNITIVE SCIENCE |
401 |
|
|
9.2 Is Cognition equivalent to Computation? |
408 |
|
|
9.3 Theories of consciousness |
411 |
|
|
9.4 Embodied Cognition |
414 |
|
|
Appendix 1 SOME SYSTEMIC PROPERTIES |
420 |
|
|
Appendix 2 SOME QUESTIONS AND ANSWERS ABOUT |
453 |
|
|
Index |
471 |
|