Complex Systems and Self-organization Modelling

Theconcernofthisbookistheuseofemergentcomputingandself-organization modellingwithinvariousapplicationsofcomplexsystems. Wefocusouratt- tion both on the innovative concepts and implementations in order to model self-organizations but also on the relevant applicative domains in which they can be used e?ciently. First part deals with general modelling and methodology as conceptual - proaches for complex systems description. An introductive chapter by Michel Cotsaftis entitled \A Passage to Complex Systems\ treats the notion of \Complex Systems\ in opposition to that of a \Complicated System\. This can be he claims comprehended immediately from the latin roots as \C- plex\ comes from \cum plexus\ (tied up with) whereas \complicated\ ori- natesfrom\cumpliare\(piledupwith). Thepaperisawideandrichdisser- tion with elements of history (of the technical developement of mankind) with its recents steps: mechanist quantum and relativistic points of view. Then the need for a \passage\ is illustrated by the discussion with tools borrowed from functional analysis of a typical parametric di?erential system. The last and conclusive parts give tracks for the study of Complex Systems in parti- lar one can hope to pass to quantitative study and control of complex systems even if one has to consent a \larger intelligence delegation\ to them (as - nounced in the introduction) by using and developing tools already present in dissipative Physics and in Mathematical functional analysis and ?xed point theorems for instance. This \passage\ is followed by a wide bibliography of more than 90 entries. The (non hasty) reader is invited to read this deep and far reaching account before browsing through the book.