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Unifying Themes in Complex Systems is a well-established series of
carefully edited conference proceedings that serve to document and
archive the progress made regarding cross-fertilization in this
field. The International Conference on Complex Systems (ICCS)
creates a unique atmosphere for scientists from all fields,
engineers, physicians, executives, and a host of other
professionals, allowing them to explore common themes and
applications of complex systems science. With this new volume,
Unifying Themes in Complex Systems continues to establish common
ground between the wide-ranging domains of complex systems science.
This book constitutes the refereed proceedings of the 5th
International Workshop on Self-Organizing Systems, IWSOS 2011, held
in Karlsruhe, Germany, in February 2011. The 9 revised full papers
presented together with 1 invited paper were carefully selected
from 25 initial submissions. It was the 5th workshop in a series of
multidisciplinary events dedicated to self-organization in
networked systems with main focus on communication and computer
networks. The papers address theoretical aspects of
self-organization as well as applications in communication and
computer networks and robot networks.
Complex systems are usually difficult to design and control. There
are several particular methods for coping with complexity, but
there is no general approach to build complex systems. In this book
I propose a methodology to aid engineers in the design and control
of complex systems. This is based on the description of systems as
self-organizing. Starting from the agent metaphor, the methodology
proposes a conceptual framework and a series of steps to follow to
find proper mechanisms that will promote elements to find solutions
by actively interacting among themselves. A general introduction to
complex thinking is given, while practical notions of complexity
and self-organization are put forward. To illustrate the
methodology, I present three case studies. Self- organizing traffic
light controllers are proposed and studied with multi-agent
simulations, outperforming traditional methods. Methods for
improving communication within self-organizing bureaucracies are
advanced. Finally, requirements for self- organizing artifacts in
an ambient intelligence scenario are discussed. Philosophical
implications of the conceptual framework are also put forward.
This volume consists of short, interview-style contributions by
leading figures in the field of complexity, based on five
questions. The answers trace their personal experience and expose
their views on the definition, aspects, problems and future of
complexity. The aim of the book is to bring together the opinions
of researchers with different backgrounds on the emerging study of
complex systems. In this way, we will see similarities and
differences, agreements and debates among the approaches of
different schools.
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