Dynamical systems in social psychology:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
San Diego u.a.
Academic Press
1994
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XX, 305 S. graph. Darst. |
| ISBN: | 0127099905 |
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| 245 | 1 | 0 | |a Dynamical systems in social psychology |c ed. by Robin R. Vallacher... |
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Datensatz im Suchindex
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| adam_text | Titel: Dynamical systems in social psychology
Autor: Vallacher, Robin R.
Jahr: 1994
CONTENTS
Contributors xiii
Preface xv
CHAPTER 1
The Chaos in Social Psychology
Robin R. Vallacher and Andrzej Nowak
I. Introduction 1
II. The State of Social Psychology 2
A. Theories, Issues, and Topics 2
B. Causation and Prediction 4
C. Boilerplate Excuses 5
III. The Dynamics of Social Psychology 7
A. Complexity 8
B. Time 9
C. Dynamical Social Psychology 11
IV. Minitheory and Metatheory 13
References 15
CHAPTER 2
Dynamical Systems: A Tool for Social Psychology?
Andrzej Nowak and Made] Lewenstein
I. Introduction 17
A. Dynamical Systems 18
B. Dynamical Systems and Social Psychology 19
II. Dynamical Systems: Basic Concepts and Definitions 20
A. Dynamical Variables 20
B. Order Parameters 20
C. Phase Space 20
D. Discrete Maps 21
E. Control Parameters 22
F. Example: Logistic Map 22
G. Continuous Time Models 23
H. Predator-Prey Model 24
III. Patterns of Behavior of Dynamical Systems 25
A. Conservative and Dissipative Systems 25
B. Attractors 25
IV. Deterministic Chaos 30
A. Strange Attractors 30
B. Sensitivity to Initial Conditions 30
C. Mixing 34
D. Fractal Nature of Strange Attractors 34
E. Chaos in the Real World 35
V. Patterns of Change in Behavior 35
A. Changes of Behavior?Bifurcations 35
B. Bistability and Multistability 39
C. Hysteresis 40
D. Roads to Chaos 41
E. Transitions in the Presence of Noise 42
VI. Signatures of Nonlinear Behavior 42
A. Autocorrelation and Cross-Correlation Function 43
B. Fourier Analysis 43
C. Distinguishing Deterministic from Random Chaos 45
VII. Conclusion 51
References 51
CHAPTER. 3
The New Statistical Dynamics: An Informal Look
at Invariant Measures of Psychological
Time Series
Arnold J. Mandell and Karen A. Selz
I. Statistical Properties of Nonlinear Dynamical Systems 55
A. The Decorrektkm, Relaxation Time, t 58
B. The Dispersion and Mixing Rate, X 59
C. Generating Dynamical Complexities, H, and HM 62
D. Nonumformity, W in Complexity Generation 64
II. Is There a Single Dynamical Invariant Measure? 66
References 67
CHAPTER 4
New Mathematical Techniques for
Pattern Recognition
Franklin E. Schweckjr.
I. Introduction 71
II. Linear or Nonlinear? 73
III. On Fourier Analysis 80
IV. Coherent State Analysis 86
V. Neural Networks 91
VI. Summary 92
References 92
CHAPTER 5
Aggression, Love, Conformity, and Other Social
Psychological Catastrophes
Abraham lesser and John Achee
I. Canonical/Normal Social Psychology 96
A. Smoothness/Proportionality 96
B. Unimodality 96
II. Catastrophe Theory: A Model That Goes
Beyond the Canonical 98
The Cusp Catastrophe 99
III. The Conflict between Personal Dispositions and Social
Pressure: Toward a Psychological Model 102
A. The Elephant and the Blind Men 103
B. Hysteresis 104
IV. A Test of the Model 105
A. The Conformity Pilot 105
B. Initial Conformity/Nonconformity 106
C. Disposition to Conform 106
D. Results 106
V. Recapitulation 108
References 108
CHAPTER 6
Local and Global Dynamics of Social Relations
Reuben M. Baron, Palemnm G. Amazeen, and Peter J. Beek
I. Introduction 111
II. Basic Concepts 112
A. The Dynamics of Physical Systems 112
B. The Dynamics of Biological Systems 113
C. Linking Systems: Coordination 114
D. Attractor Dynamics 118
E. Order and Control Parameters 119
III. Extension to Social Psychology 121
A. Modeling Close Relations 121
B. The Moreland and Levine Group Socialization Model
as a Dynamical System 129
IV. Concluding Comments 136
References 137
CHAPTER 7
The Perception and Coupling of Behavior Waves
Darren Newtson
I. Introduction 139
Dynamical Systems as Metaphor or Theory 142
II. Behavior Is a Wave 144
A. Segmentation of Ongoing Behavior 144
B. Measuring Ongoing Behavior 145
C. Spectral Analysis of Ongoing Behavior 149
D. Perception of Behavior Waves 152
III. The Nature of Behavior Waves 153
A. The Concept of Information Flow 154
B. The Coupling of Behavior Waves 156
IV. Back to the Future 165
References 166
CHAPTER 8
A Family of Autocorrelation Graph Equivalence
Classes on Symbolic Dynamics as Models of
Individual Differences in Human Behavioral Style
Karen A. Setz and Arnold J. Mandell
I. Introduction 169
A. Equivalence as a Higher Order Observable 170
B. Kinds of Dynamical Equivalence 172
II. Experimental Data 174
A. Behavioral Style in Experimental Tasks 174
B. Partition of Human Behavior as Support for
Equivalence Relations 176
III. Mapping of Subject Data to the Model 177
A. The Autocorrelation Graph (Autocorrelogram) 177
IV. The Model 178
V. Creation of Surrogate Data 181
A. The Tent Map 181
B. Symbolic Dynamics on Two Letters 183
C. Orbits as X Expansions 185
D. Assigning Parities and Creating «;s 187
E. Obtaining a X. Value for a Subject 188
VI. Mapping and Modeling the Surrogate Data 188
vu. Results 189
A. Correspondence of Subject and Surrogate Models
by Task 189
B. Line Fast-Return Task 189
C. Line Slow-Return Task 190
D. Triangle Task 191
III. Discussion 193
References 195
CHAPTER 9
Toward a Dynamic Conception of Attitude
Consistency and Change
J. Richard Eiser
I. Some Traditions in Attitude Research 198
A. Attitude Measurement 198
B. Multiple Dimensions 198
C. Attitude Change 199
D. Attitude Organization 199
E. Attitudes and Behavior 201
II. Patterns of Attitudes 202
A. Attitude Space 203
B. Mental Geography 204
C. Curves and Contours 206
D. Dynamics and Attractors 207
E. Stability and Instability 208
F. Attitudes as Attractors 210
III. A Connectionist View of Attitudes 211
A. Neural Networks 211
B. Connectionism and Dynamical Systems 213
IV. Conclusions 215
References 217
CHAPTER 10
Attitudes as Catastrophes: From Dimensions to
Categories with Increasing Involvement
Bibb Latatie and Andrzej Nowak
I. Introduction 219
II. Two Conceptions of Individual Attitudes 220
A. Attitudes as Points (or Regions) on a Dimension 221
B. Implication of the Dimensional View 221
C. Attitudes as Categories 225
D. Implications of the Categorical View 226
III. So Which Is It?Dimensions or Categories? 227
Attitude Changes as Catastrophes 227
IV. Attitude Distributions Indicate the Nature of Attitudes 230
A. Data Set 1: A Classic Study of the Distribution
of Attitudes 230
B. Data Set 2: A Modern Study of the Distribution
of Attitudes 232
C. Summary of Results from Both Classic
and Modern Studies 236
D. Other Implications of the Idea That Attitudes
Are Catastrophic 237
E. Implications for How to Study Attitudes 238
V. Why Does Involvement Lead to Categorization? 239
A. Internal Processing 239
B. External Pressure 241
C. Decisions and Behavior 241
VI. Why Does It Matter? Implications for Group Dynamics 242
A. The Traditional View?Convergence 242
B. The New* View?Clustering 242
C. Feedback of Group Outcomes to Individual
Processes 245
D. When Convergence? When Clustering? 245
E. Individual Attitudes and the Group Mind 246
References 247
CHAPTER 11
The Stream of Social Judgment
Robin R. Vallacher and Andrzej Nowak
I. Introduction 251
II. Intrinsic Dynamics 253
A. Order Parameters 253
B. Structure and Dynamics 254
III. Measuring the Stream of Social Judgment 257
A. The Problems with Self-Report 257
B. The Mouse Paradigm 258
IV. Variation in Intrinsic Dynamics 260
A. Temporal Patterns in Judgment 260
B. Dynamics and Information 265
V. Rethinking Social Thinking 269
A. Implications for Theory 269
B. Implications for Research 272
VI. Conclusions 274
References 275
CHAPTER 12
Toward a Dynamical Social Psychology
Andrzej Nowak, Maciej Lewenstein, and Robin R. laUacher
I. Introduction 279
II. Implications for Philosophy of the Social Sciences 280
A. Determinism 280
B. Causal Laws . 281
C. Unpredictability of Human Behavior 282
III. Implications for Theory in Social Sciences 283
A. What to Identify and Measure 283
B. Ambitious Models versus Qualitative
Understanding 285
C. Qualitative Models in Social Psychology 286
D. Complexity of Theory 288
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| spelling | Dynamical systems in social psychology ed. by Robin R. Vallacher... San Diego u.a. Academic Press 1994 XX, 305 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Systemtheorie (DE-588)4058812-9 gnd rswk-swf Dynamisches System (DE-588)4013396-5 gnd rswk-swf Sozialpsychologie (DE-588)4055891-5 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Sozialpsychologie (DE-588)4055891-5 s Dynamisches System (DE-588)4013396-5 s DE-604 Systemtheorie (DE-588)4058812-9 s Vallacher, Robin R. edt HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006155161&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | Dynamical systems in social psychology |
| title_auth | Dynamical systems in social psychology |
| title_exact_search | Dynamical systems in social psychology |
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