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Information and anization. A Macroscopic Approach plex Systems (3rd edition) by Manoel De Oliveira Lima.pdf

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Information and anization. A Macroscopic Approach plex Systems (3rd edition) by Manoel De Oliveira Lima.pdf

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Information and anization. A Macroscopic Approach plex Systems (3rd edition) by Manoel De Oliveira Lima.pdf

文档介绍

文档介绍:plexity
plexity is a publication program, cutting across all traditional dis•
ciplines of sciences as well as engineering, economics, medicine, psychology
puter sciences, which is aimed at researchers, students and practitioners
working in the field plex systems. Complex Systems are systems that
comprise many interacting parts with the ability to generate a new quality of
macroscopic collective behavior through anization, ., the spontaneous
formation of temporal, spatial or functional structures. This recognition, that the
collective behavior of the whole system cannot be simply inferred from the un•
derstanding of the behavior of the ponents, has led to various
new concepts and sophisticated tools plexity. The main concepts and
tools - with sometimes overlapping contents and methodologies - are the the•
ories of anization, complex systems, synergetics, dynamical systems, tur•
bulence, catastrophes, instabilities, nonlinearity, stochastic processes, chaos, neu•
works, cellular automata, adaptive systems, and ic algorithms.
The topics treated within plexity are as diverse as lasers or
fluids in physics, machine cutting phenomena of workpieces or electric circuits
with feedback in engineering, growth of crystals or pattern formation in chemis•
try, morphogenesis in biology, brain function in neurology, behavior of stock ex•
change rates in economics, or the formation of public opinion in sociology. All
these seemingly quite different kinds of structure formation have a number of
important features and underlying structures mon. These deep structural
similarities can be exploited to transfer analytical methods and understanding
from one field to another. The plexity program therefore seeks to
foster cross-fertilization between the disciplines and a dialogue between theore•
ticians and experimentalists for a deeper understanding of the general structure
and behavior plex systems.
The program consists of