Deep complexity and the social sciences: experience, modelling and operationality
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cheltenham [u.a.]
Elgar
2010
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| Series: | New horizons in institutional and evolutionary economics
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XXIV, 464 S. graph. Darst. |
| ISBN: | 9781849800266 |
Staff View
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Record in the Search Index
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| adam_text | Titel: Deep complexity and the social sciences
Autor: Delorme, Robert
Jahr: 2010
Contents
Main abbreviations and symbols xiii
Figures xv
Tables xvii
Preface xix
Acknowledgements xxiii
Part I Experience
1. Heuristics 3
1.1 Introduction 3
1.2 Experiencing deep complexity 4
A first encounter with deep complexity in economic analysis 4
Step one: Public expenditure in France in a time series
perspective 4
Step two: A comparison with Germany 7
Step three: The RISE hypothesis 11
A wicked problem 14
In search of a theory 14
In search of a methodology 20
1.3 Constructing a pathway 24
A Simonian situation: Procedural rationality 24
What procedural rationality is 25
What procedural rationality is not 26
A post-Simonian construction of a way out 29
Self-reflexivity 30
Designing a way out 36
Anchored Deep Complexity (ADCX) 44
1.4 Conclusion 46
2. Originality 47
2.1 Introduction 47
2.2 The ADCX hypothesis 48
Depth 48
Anchoring 52
viii Deep complexity and the social sciences
2.3 Deep complexity in economic theory 53
The irreducibility to hard science 54
A. Marshall and the intricacy of the material of economics 55
W. Eucken s Great Antinomy and Regulation theory 56
N. Georgescu-Roegen and dialectical penumbra 57
Radical uncertainty 58
Event uniqueness: F. Knight 59
Historical time and ignorance in the Austrian tradition 60
Organic interdependence: J.M. Keynes on uncertainty 64
Complex economic systems 77
Quasi deep complexity in multi-agent dynamic systems 78
A complex system perspective without deep complexity 81
Conceptual pluralism 84
2.4 Deep complexity in management theory 86
2.5 Alternative transdisciplinary sources and forms 87
Indecomposability 87
Uncontrollability 89
Deterministic unpredictability 93
Incompressibility 96
Statistical information 97
Complexity and algorithmic information 98
2.6 Conclusion 107
Part II Modelling
3. Relativity 113
3.1 Introduction 113
3.2 Complexity not intrinsic to objects 114
3.3 The issue of subjectivity 116
Measurement 117
The field of activity 118
Against loose complexity 119
3.4 Measurement and irreducibility 120
The irony of measurement 120
Universal irreducibility is useless 125
The need for a cutting point 127
3.5 Irreducibility endogenised 127
A detour via safety management 127
Normal accidents 129
Definitions 129
Interactions and complexity 129
Coupling 131
Contents ix
Interactions and coupling combined 132
Organisational accidents 133
Organisational accidents defined 133
Defences-in-depth 134
Latent conditions 134
Synthesis 135
Irreducible risk and high safety 136
High-safety systems (HSS) 137
The issue of acceptable risk 138
Cognitive ergonomics of risk 139
The precautionary principle 144
Definition 144
Principles of application 145
Pulling the threads together. Cognitive and practical irreducibility 146
3.6 Eight elementary dimensions of complexity 148
3.7 From complex object to complex situation 151
3.8 Conclusion 153
4. Deep complexity as product 155
4.1 Introduction 155
4.2 Quantitative irreducibility 156
A resource gap 156
Resources differentiated 160
Pure cognition, practice and judgement 160
Substance and procedure 161
4.3 The ninth dimension 163
From object level to meta-level 163
The emergence of second-order, deep complexity 165
4.4 Qualitative irreducibility 169
Duality and non-separability 169
Duality, neither dichotomy nor dualism 170
Three root dualities 171
Asymmetry and recursion 172
Asymmetry and the generic duality 172
Recursion 174
Complex duality 177
Root dualities and recursion 178
4.5 Conclusion 179
5. Deep complexity as process 181
5.1 Introduction 181
5.2 A nested process 182
( Deep complexity and the social sciences
The generic pattern: Nested double duality 182
The modus operandi of second-order deep complexity CX3 184
Meta-complexity CX4 188
5.3 Five organising principles for CX4 190
Behaviouralist self-reflexivity 191
Composite self-similarity 193
Intrinsic ambivalence 193
Logical level invariance 196
Conjunction 196
The Aristotelian axioms 197
Principles of conj unction 199
Abduction 201
Construction 204
5.4 Conclusion: CX5 205
6. Generality 207
6.1 Introduction 207
The progress made 207
The birth of deep complexity 207
Anchored deep complexity (ADCX) 208
From ADCX to CX5 209
The issue at stake 209
An answer to the initial question 210
What kind of answer is it? 210
Strategy 212
6.2 GPmm In search of a foundation for CX5 213
Wmm The processual world of CX5 214
Reality and experience 215
Beyond atomism and reductionist holism 217
Process, relationality and openness 221
(PEWmm.Wmm) An epistemology for CX5 222
Introduction: A general warning to the reader 222
The issue of the critical non-separability of CX5 224
Non-separability accommodated, but not critical 225
What non-separation is not: Separationist
perspectives 225
Non-separationist perspectives 232
The problematic accommodation of criticality 245
E. Morin on complexity and simplification 246
J.-L. Le Moigne on systemic modelling 271
Soft Systems Methodology 274
A post-Deweyan, critically transactional perspective 286
Contents xi
Reclaiming John Dewey: Non-separation as
transaction 286
The transactional view 289
A critically transactional perspective 298
6.3 Pmm Methodology: 0P6 317
The issue of methodological criticality 318
Two critical methodologies in debate 318
An unresolved problem 323
A methodology for criticality: The autonomy of CX5 328
From oscillation to asymmetric oscillation 329
Inequivalence and the autonomy of CX5: OP6 332
6.4 GPm Harnessing OP6: From autonomy to situation recognition OP7 335
6.5 Pm Putting deep complexity to work: OP8 337
Priority to the experiential situation Po 338
Complexification 339
Complex reduction 342
Organisation of reduction 342
The substance of reduction 343
The method of reduction 344
The outcome of reduction 348
Action and validation 350
Learning and oscillation 351
6.6 Effective Deep Complexity (EDCX or CX6) 353
A theory of deeply complex situations 354
How Effective Deep Complexity is a theory 354
The kind of theory Effective Deep Complexity is 355
A theoretical and practical formal framework 357
Critical non-separability and process 357
An effective alternative to the separationist perspective 359
6.7 Conclusion 361
Part III Operationality
7. Synthesis 365
7.1 Introduction 365
7.2 Pulling the threads together 365
Six steps to deep complexity as CX6 365
The three plus one recursive loops of CX6 369
7.3 The threefold character of Effective Deep Complexity 372
A theory of deeply ill-structured problem-situations 372
An alternative cognitive framework 373
The transdisciplinary level 373
xii Deep complexity and the social sciences
Economic theory 374
A decision-and-action support process 376
7.4 Effective Deep Complexity and the external world Wl 377
The experiential problem-situation 377
Complex duality: A critically transactional systemic process 379
8. Applications 383
8.1 Introduction 383
8.2 Road safety governance 384
The problem-situation 385
Concepts and modelling of road risk 387
An activity model of road safety 392
Actors and activities 392
Contexts of action 394
The road risk regulation regime (R4) 395
The French and British R4s in the concrete 396
8.3 Economic issues 399
A theory of deeply complex economic situations 400
In praise of a new mixed economy 400
The politico-economical trilemma of our time 403
An alternative analytical framework 406
The scourge of scientism 406
Another game in town 409
An economic decision-and-action support process 412
Complex, organised duality 413
Globalisation without complex duality 416
The story of the failed European Union constitution 417
The global financial crisis of September and October 2008 420
2009: economic crisis and global challenges 424
8.4 Conclusion 428
General conclusion 431
References 435
Index 457
|
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| spelling | Delorme, Robert Verfasser aut Deep complexity and the social sciences experience, modelling and operationality Robert Delorme Cheltenham [u.a.] Elgar 2010 XXIV, 464 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier New horizons in institutional and evolutionary economics Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Modellierung (DE-588)4170297-9 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Komplexität (DE-588)4135369-9 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 s Mathematisches Modell (DE-588)4114528-8 s DE-604 Komplexität (DE-588)4135369-9 s Modellierung (DE-588)4170297-9 s HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020444028&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Delorme, Robert Deep complexity and the social sciences experience, modelling and operationality Mathematisches Modell (DE-588)4114528-8 gnd Modellierung (DE-588)4170297-9 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Komplexität (DE-588)4135369-9 gnd |
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| title | Deep complexity and the social sciences experience, modelling and operationality |
| title_auth | Deep complexity and the social sciences experience, modelling and operationality |
| title_exact_search | Deep complexity and the social sciences experience, modelling and operationality |
| title_full | Deep complexity and the social sciences experience, modelling and operationality Robert Delorme |
| title_fullStr | Deep complexity and the social sciences experience, modelling and operationality Robert Delorme |
| title_full_unstemmed | Deep complexity and the social sciences experience, modelling and operationality Robert Delorme |
| title_short | Deep complexity and the social sciences |
| title_sort | deep complexity and the social sciences experience modelling and operationality |
| title_sub | experience, modelling and operationality |
| topic | Mathematisches Modell (DE-588)4114528-8 gnd Modellierung (DE-588)4170297-9 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Komplexität (DE-588)4135369-9 gnd |
| topic_facet | Mathematisches Modell Modellierung Sozialwissenschaften Komplexität |
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