Brownian Agents and Active Particles

Collective Dynamics in the Natural and Social Sciences

  • Frank Schweitzer

Part of the Springer Series in Synergetics book series (SSSYN)

About this book

Introduction

"This book lays out a vision for a coherent framework for understanding complex systems'' (from the foreword by J. Doyne Farmer). By developing the genuine idea of Brownian agents, the author combines concepts from informatics, such as multiagent systems, with approaches of statistical many-particle physics. This way, an efficient method for computer simulations of complex systems is developed which is also accessible to analytical investigations and quantitative predictions. The book demonstrates that Brownian agent models can be successfully applied in many different contexts, ranging from physicochemical pattern formation, to active motion and swarming in biological systems, to self-assembling of networks, evolutionary optimization, urban growth, economic agglomeration and even social systems.

Keywords

agent based simulations agents brownian agents calculus complex networks complex system complex systems computer simulation evolution multiagent models optimization simulation

Authors and affiliations

  • Frank Schweitzer
    • 1
  1. 1.ETH ZürichZürichSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-73845-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-73844-2
  • Online ISBN 978-3-540-73845-9
  • Series Print ISSN 0172-7389
  • About this book