Since the beginning of the 1980's, a lot of news approaches of
biomimetic inspiration have been defined and developed for imitating the
brain behavior, for modeling non linear phenomenon, for providing new
hardware architectures, for solving hard problems. They are named Neural
Networks, Multilayer Perceptrons, Genetic algorithms, Cellular
Automates, Self-Organizing maps, Fuzzy Logic, etc. They can be
summarized by the word of Connectionism, and consist of an
interdisciplinary domain between neuroscience, cognitive science and
engineering. First they were applied in computer sciences, engineering,
biological models, pattern recognition, motor control, learning
algorithms, etc. But rapidly, it appeared that these methods could be of
great interest in the fields of Economics and Management Sciences. The
main difficulty was the distance between researchers, the difference in
the vocabulary used by the ones and the others, their basic background.
The main notions used by these new techniques were not familiar to the
Social and Human Sciences researchers. What are they ? Four of them are
now very briefly introduced, but the reader will find more information
in the following chapters.