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.
General
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