## 1993 lectures in complex systemsFor six years the Complex Systems Summer School has contributed greatly to education and research into complex systems. "1993 Lectures in Complex Systems "presents a wide array of topics in the field, including condensed matter dynamics, self-organized criticality, complex fluids, evolution, time series analysis, and neural models of perception. This book is a compilation of many of the lectures and contributions of the 1993 Complex Systems Summer School. The collective volumes in the Series ("Lectures in the Sciences of Complexity, 1989 Lectures in the Sciences of Complexity, 1990 Lectures in Complex Systems, 1991 Lectures in Complex Systems, 1992 Lectures in Complex Systems" and now "1993 Lectures in Complex Systems") comprise a growing, broad, interdisciplinary review of the many sciences of complexity--a review unavailable elsewhere.Lectures included in This Volume: S.N. Coopersmith: Complex Structures and Dynamics in Condensed Matter SystemsC.A. MacKen and P.F. Stadler: Evolution of Fitness LandscapesB.W. Mel: Information Processing in Dendritic TreesB.K. Sawhill: Self-Organized Criticality and Complexity TheoryO. Aporns: Neural Models of Perception and BehaviorR. Tagg: Instabilities and the Origin of Complexity in Fluid FlowsK. Thearling: Massively Parallel Architectures and Algorithms for Time Series Analysis |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

Evolution on Fitness Landscapes | 43 |

Information Processing in Dendritic Trees | 87 |

SelfOrganized Criticality and Complexity Theory | 143 |

Copyright | |

17 other sections not shown

### Common terms and phrases

activity agents algorithm amplitude analysis average behavior bifurcation boundary layer brain cell body cellular automata Complex Systems computational configuration connections correlation Couette-Taylor cylinder Darwin IV defined dendritic tree density described discussed distance distribution dynamics economic effects equation equilibrium evolution example excitatory experimental experiments factor Figure fitness flow Fluid Mech frequency function genetic genetic algorithm global graph increases initial input instability interactions landscape lattice length Lett linear marginal stability mechanism membrane meme modes motion mutation neighbors nervous system neurons noise nonlinear optimization parallel parameter particle patterns Phys population potential prediction problem Proc Purkinje Cells pyramidal cell random region response Reynolds number rules Santa Fe Institute scale scale invariance selection sequence sequence space simulations solution space spatial spikes spin glass stability structure synaptic Taylor vortices theory threshold tion transition turbulence variable velocity viscous Visual Cortex voltage vortices wavenumber waves