Information and material flows in complex networks

被引：62

作者：

Helbing, D

Armbruster, D

Mikhallov, AS

Lefeber, E

机构：

[1] Tech Univ Dresden, Inst Transport & Econ, D-01062 Dresden, Germany

[2] Coll Budapest, Inst Adv Study, H-1014 Budapest, Hungary

[3] Arizona State Univ, Dept Math, Tempe, AZ USA

[4] Eindhoven Univ Technol, Dept Mech Engn, NL-5600 MB Eindhoven, Netherlands

[5] Max Planck Gesell, Fritz Haber Inst, Dept Phys Chem, D-14195 Berlin, Germany

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2006年 / 363卷 / 01期

关键词：

complex systems; many-particle systems; multi-agent models network theory; information flows; socio; and econo-physics; traffic physics; biophysics; biologistics;

D O I：

10.1016/j.physa.2006.01.042

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this special issue, an overview of the Thematic Institute (TI) on Information and Material Flows in Complex Systems is given. The TI was carried out within EXYSTENCE, the first EU Network of Excellence in the area of complex systems. Its motivation, research approach and subjects are presented here. Among the various methods used are many-particle and statistical physics, nonlinear dynamics, as well as complex systems, network and control theory. The contributions are relevant for complex systems as diverse as vehicle and data traffic in networks, logistics, production, and material flows in biological systems. The key disciplines involved are socio-, econo-, traffic- and bio-physics, and a new research area that could be called "biologistics". (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：XI / XVIII

页数：8

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