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Neural Networks and Dynamic Complex Systems
[1989] Record of Proceedings. The 22nd Annual Simulation Symposium
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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.
doi:10.1109/simsym.1989.748307
dblp:conf/anss/FoxFHKSW89
fatcat:rgvgxt2dsvd4bm2ztsvoeusyk4