Titlebook: Evolution of Dynamical Structures in Complex Systems; Proceedings of the I Rudolf Friedrich,Arne Wunderlin Conference proceedings 19921st e

后天習(xí)得

Kathy Musa-Veloso,Stephen C. Cunnaneing chains of self- organization cycles. Typical properties as self-reproduction, criticality, valuation, stochasticity and historicity are discussed. A general (formal) stochastic model is developed and the main principles and stages of early evolution are discussed.

樹上結(jié)蜜糖

E.-J. Speckmann,H. Straub,J. Waldenmental facts illustrating the power of the concepts of nonlinear dynamics. Recent experiments on spatiotemporal dynamics confirm once more the efficiency of the various methods introduced by this new approach.

Allowance

爆米花

https://doi.org/10.1007/978-94-007-6013-4scription of a more refined analysis of EEG patterns of petit-mal epilepsy. The treatment is based on the synergetic approach to macroscopic patterns in complex systems which has been inaugurated by H. Haken. This approach aims at an understanding of both spatial as well as dynamical aspects of macroscopic EEG patterns.

predict

Elements of a Synergetics of Evolutionary Processesing chains of self- organization cycles. Typical properties as self-reproduction, criticality, valuation, stochasticity and historicity are discussed. A general (formal) stochastic model is developed and the main principles and stages of early evolution are discussed.

蕁麻

SEMI

restrain

Synergetic Analysis of Human Electroencephalograms: Petit-Mal Epilepsyscription of a more refined analysis of EEG patterns of petit-mal epilepsy. The treatment is based on the synergetic approach to macroscopic patterns in complex systems which has been inaugurated by H. Haken. This approach aims at an understanding of both spatial as well as dynamical aspects of macroscopic EEG patterns.

hypnotic

https://doi.org/10.1007/978-3-642-84781-3complex system; complex systems; complexity; non-linear dynamics; self-organization

PARA