Chaos, Complexity, and Sociology: Myths, Models, and TheoriesRaymond A. Eve, Sara Horsfall, Mary E. Lee The authors of this volume provide a timely collection of articles which examine the emerging myths and theories surrounding the study of chaos and complexity. In the second part methodological matters are considered. Finally, conceptual models and applications are presented. This perceptive and thorough volume will be useful to sociologists and others interested in chaos and complexity theory. |
Contents
The Myth of Postmodern Science | 3 |
Toward Nonmodern | 15 |
Necessary Myths | 39 |
New Maths and New Myths | 46 |
Nonlinear Dynamics and the MicroMacro Bridge | 52 |
Misuse of Nonlinear Dynamics and Complexity in | 70 |
Conclusion | 76 |
Sociological Application of | 91 |
Conceptual Models and Applications | 161 |
ShortTerm Changes in the Domestic Division | 182 |
A Cellular | 215 |
Adolescent Childbearing | 243 |
16 | 248 |
So Where Are We Now? A Final Word | 269 |
References | 281 |
91 | 284 |
Social Deterministic Systems | 102 |
PART Preliminary Thinking about Methods | 123 |
An Emergent Perspective | 141 |
Chaos and Pattern in Complex Systems | 153 |
| 301 | |
| 308 | |
About the Contributors | 322 |
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agents analysis anthropic principle arousal attachment autocorrelation behavior biological Carley cellular automaton chaos and complexity chaos model chaos theory children's friendship cohort complex systems concept constraints control parameters culture deterministic dimension disaster division of labor dynamic systems effect emergent epoch evolution example feedback Figure Foucault fractal fractal dimension function household division human hyperstructure indicates individual initial conditions interaction iteration limit cycle limit point linear Lyapunov exponent mathematical mature women measure nations nature neighbors nonlinear dynamics observed opinion opioid organization organizational paradigm patterns performance phase phenomena physical possible postmodern prediction problem process of children's random relationships scientists self-organization sensitivity to initial sexual division Simmel simulation social sciences social systems society sociology sole responsibility solution space specific stable stochastic strange attractor strategy streams of change structure tasks tion traditional University values variables weekly data