
| The Impact of Chaos on Science and Society (UNU, 1997, 415 pages) |
| (introduction...) |
| Preface |
| 1. Chaotic dynamics |
![]() | (introduction...) |
![]() | Abstract |
![]() | I. Introduction |
![]() | II. Measuring Chaos |
![]() | III. Routes to chaos |
![]() | IV. Chaos in physical systems |
![]() | V. Noise and computer round-off errors |
![]() | VI. Hamiltonian systems |
![]() | VII. Symbolic dynamics |
![]() | VIII. Concluding remarks |
![]() | References |
| 2. Chaos and politics: applications of nonlinear dynamics to socio-political issues |
![]() | (introduction...) |
![]() | Abstract |
![]() | I. Introduction |
![]() | II. The evolution of simple models for population dynamics |
![]() | III. Predicting the weather: An intuitive example of chaotic dynamics |
![]() | IV. Chaotic dynamics and arms-race models |
![]() | V. Future outlook |
![]() | VI. Discussion and conclusions: The lessons of nonlinearity |
![]() | Notes |
![]() | References |
| 3. Is the EEG a strange attractor? Brain stem neuronal discharge patterns and electroencephalographic rhythms |
![]() | (introduction...) |
![]() | I. Introduction |
![]() | II. The EEG as a global nonlinear oscillator: Quasiperiodic, ( |
![]() | III. The neocortical source of the EEG signal |
![]() | IV. Hierarchical noise driving of the hierarchical modes of the EEG by brain stem neurons |
![]() | V. Deterministic and random models of hierarchical neuronal discharge patterns |
![]() | VI. Stochastic resonance and quasiperiodicity in single neuron-neocortical dynamics |
![]() | VII. Single neuron dynamics and the EEG: Two clinical examples |
![]() | VIII. Summary |
![]() | References |
| 4. The impact of chaos on mathematics |
![]() | (introduction...) |
![]() | Abstract |
![]() | I. Introduction: A historical view |
![]() | II. The Lorenz attractor |
![]() | III. The Feigenbaum bifurcation |
![]() | IV. Hydrodynamic turbulence |
![]() | V. Ergodic theory of differentiable dynamical systems: Axiom A systems |
![]() | VI. Ergodic theory of differentiable dynamical systems: General systems |
![]() | VII. Quadratic maps of the interval and the Hénon attractor |
![]() | VIII. Zeta functions |
![]() | IX. Conclusion |
![]() | References |
| 5. Chaos in neural networks |
![]() | (introduction...) |
![]() | Abstract |
![]() | I. Introduction |
![]() | II. Chaotic dynamics in nerve membranes |
![]() | III. Chaos in biological neural networks |
![]() | IV. Chaos in artificial neural networks |
![]() | V. Discussion |
![]() | References |
| 6. The impact of chaos on physics |
| 7. Chaos and physics |
![]() | (introduction...) |
![]() | Determinism versus probabilism |
![]() | A class of ubiquitous phenomena |
![]() | The impact of physics on chaos |
![]() | The problem of quantum chaos |
![]() | Is there new physics in chaos? |
![]() | Does chaos bring a new fundamental principle into physics? |
![]() | Acknowledgements |
![]() | Notes |
![]() | References |
| 8. Irreversibility and quantum chaos |
![]() | (introduction...) |
![]() | Abstract |
![]() | I. Introduction |
![]() | II. Quantum suppression of classical chaos |
![]() | III. Recovery of chaos |
![]() | IV. Stationary dissipation |
![]() | References |
| 9. Impact of high-dimensional chaos: A further step towards dynamical complexity |
![]() | (introduction...) |
![]() | I. From chaos to high-dimensional chaos |
![]() | II. From spatio-temporal chaos to turbulence |
![]() | III. High-dimensional chaos as the basis of statistical mechanics |
![]() | IV. Network of chaotic elements |
![]() | V. Neural information processing with high-dimensional chaos |
![]() | VI. Homeochaos in biological networks |
![]() | Acknowledgements |
![]() | Notes |
![]() | References |
| 10. The impact of chaos on biology: Promising directions for research |
![]() | (introduction...) |
![]() | Abstract |
![]() | Introduction |
![]() | Persistence and extinction in animal populations |
![]() | Periodicity in chaos |
![]() | Conclusion |
![]() | Acknowledgements |
![]() | Notes |
![]() | References |
![]() | Appendix. The difficulties of finding chaos in biological data |
| 11. Dynamical disease - The impact of nonlinear dynamics and chaos on cardiology and medicine |
![]() | (introduction...) |
![]() | Abstract |
![]() | I. Introduction - Chaos and dynamical disease |
![]() | II. Chaos in physiological experiments and medicine |
![]() | III. Nonlinear dynamics in cardiology |
![]() | IV. Summary and conclusions |
![]() | Acknowledgements |
![]() | References |
| 12. The impact of chaos on meteorology |
![]() | (introduction...) |
![]() | I. Introduction |
![]() | II. Local and global properties |
![]() | III. The middle-latitude jet as a dynamical system |
![]() | IV. Conclusions |
![]() | References |
| 13. The concept of chaos in the problem of earthquake prediction |
![]() | (introduction...) |
![]() | Abstract |
![]() | Nonlinear dynamics and earthquake-prone faults |
![]() | Modelling |
![]() | Prediction |
![]() | Conclusion |
![]() | References |
| 14. The impact of chaos on engineering |
![]() | (introduction...) |
![]() | Introduction |
![]() | The role of geometrical theory in applied mechanics |
![]() | Transient failure |
![]() | The influence of chaotic transients |
![]() | Conclusions |
![]() | Acknowledgements |
![]() | References |
| 15. The impact of chaos on economic theory |
![]() | (introduction...) |
![]() | I. Introduction |
![]() | II. Impediments to chaos in economics |
![]() | III. Empirical investigations |
![]() | IV. Theoretical investigations |
![]() | V. Conclusions |
![]() | References |
| 16. Chaos in society: Reflections on the impact of chaos theory on sociology |
![]() | (introduction...) |
![]() | I |
![]() | II |
![]() | III |
![]() | IV |
![]() | V |
![]() | Notes |
![]() | References |
| 17. Strange attractors and the origin of chaos |
![]() | (introduction...) |
![]() | I. Prologue |
![]() | II. The oldest chaos in a non-autonomous system - A shattered egg |
![]() | III. Encounter with the Japanese attractor |
![]() | IV. The Hayashi Laboratory at the time of the ''McGraw-Hill Book'' |
![]() | V. From the harmonic balance method to the mapping method |
![]() | VI. The true value of an advisor: A scion of chaos |
![]() | VII. The end of the Chihiro Hayashi Laboratory |
![]() | VIII. The original data that were preserved |
![]() | IX. Epilogue |
![]() | Acknowledgements |
![]() | References |
| Panel discussion: The impact of chaos on science and society |
| Opening address |
| Contributors |
| Other titles of interest |
David Ruelle