Nonlinear Dynamics in Human BehaviorThis book represents a selection of papers presented at the Fourth Annual Conference of the Society for Chaos Theory in Psychology and the Life Sciences, held at Johns Hopkins University in Baltimore, June 24-27, 1995. The book reflects the Society as a whole, consisting of applications of nonlinear methodology in psychophysics, neurophysiology, business and social science as well as applications of the nonlinear paradigm to issues arising in psychotherapy and the study of creativity. Unique are contributions on the use of Boolean networks in the study of psychosis and quality of life. Review articles on the appropriate use of time series methods in psychology and psychophysics provide a valuable reference. |
Contents
Appropriate Algorithms for Nonlinear Time Series Analysis | 27 |
Looking for Chaos in Time Series Data | 44 |
Chaos in Psychophysics? Hypothesis Testing and Nonlinear | 77 |
Inter and Intra Trial Dynamics in Memory and Choice | 90 |
Approaches to the Nonlinear Dynamics of Reflexive Eye Movements | 107 |
Identification of Chaotic Behavior in Warfare | 126 |
Fractal Structure in Business Cycle Durations | 144 |
Causality and Emergence in Chaos and Complexity Theories | 161 |
Therapy at the Edge of Chaos | 235 |
Nonlinear and Neurobiological | 256 |
Quality of Life A Dynamic Perspective | 276 |
A Boolean Approach to the Dynamics of Psychosis | 296 |
Chaos Theory Scientific Revolutions and Creativity in Learning | 319 |
Speculations on the Connection between | 343 |
The Dynamics of Creativity and the Courage to be | 364 |
Coda | 401 |
Chaos and the Double Function of Communication | 191 |
The Application of Topological Models to Social System Dynamics | 207 |
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Common terms and phrases
algorithm analysis applied approach automaton bifurcation point biological brain business cycles causal cell chaos theory chaotic attractor chaotic dynamics chaotic systems cognitive communication complex computational configurations consciousness context correlation dimension correlation integral creativity cyclical data sets differential dimensional dynamical system edge of chaos effect embedding dimension emergence empirical environment equations evolution example fast phases feedback Figure forecasting fractal function functional iteration human hypothesis increase individual initial conditions input interaction Karnaugh map Kinetic Logic limit cycle linear Lyapunov exponents mathematical memory methods nature neural neurons noise nonlinear dynamics observed organization parameter pattern phase space phenomena physical place cell population possible prediction presented Press problem psychological random Rescaled Range response self-organization simulation slow phases social stable statistical stimulus stochastic strange attractor structure surrogate data symptoms techniques Theiler TIGORS trajectory transitions understanding unpredictable variables York