Neural Networks and Dynamic Complex Systems
Geoffrey Fox, W. Funnanski, A. Ho, J.G. Koller, Petar D. Simić, I. Wong · 2005
We describe the use of neural networks for optimization and inference associated with a variety of complex systems. We show how a string formalism can be used for parallel computer decomposition, message routing and sequential optimizing compilers. We extend these ideas to a general treatment of spatial assessment and distributed artificial intelligence.