Subject: Complexity                              
                                                                              
   Q27: What is complexity?                                                   
   A27: Emerging paradigms of thought encompassing fractals, chaos, nonlinear 
science, dynamic systems, self-organization, artificial life, neural networks,
and similar systems comprise the science of complexity. Several helpful online
resources on complexity are:                                                  
                                                                              
   Institute for Research on Complexity                                       
          http://www.marshall.edu/~stepp/vri/irc/irc.html                     
                                                                              
   The site life.csu.edu.au has a collection of fractal programs, papers,     
information related to complex systems, and gopher and World Wide Web         
connections.                                                                  
                                                                              
   LIFE via WWW                                                               
          http://life.csu.edu.au/complex/                                     
                                                                              
   Complex Systems (UPENN)                                                    
          http://www.seas.upenn.edu/~ale/cplxsys.html                         
                                                                              
   Center for Complex Systems Research (UIUC)                                 
          http://www.ccsr.uiuc.edu/                                           
                                                                              
   Complexity International Journal                                           
          http://www.csu.edu.au/ci/ci.html                                    
                                                                              
   Nonlinear Science Preprints                                                
          ftp://xyz.lanl.gov/nlin-sys                                         
                                                                              
   Nonlinear Science Preprints via email:                                     
   To subscribe to public bulletin board to receive announcements of the      
availability of preprints from Los Alamos National Laboratory, send email to  
nlin-sys@xyz.lanl.gov containing the sole line of text: subscribe             
your-real-name                                                                
                                                                              


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