This book lays out a vision for a coherent framework for
understanding complex systems. 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. It demonstrates that Brownian agent models
can be successfully applied in many different contexts, ranging
from physicochemical pattern formation to swarming in biological
systems.
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