Neural networks and dynamic complex systems

  • Authors:
  • Geoffrey Fox;Wojtek Furmanski;Alex Ho;Jeff Koller;Peter Simic;Isaac Wong

  • Affiliations:
  • Caltech Concurrent Computation Program, 1201 E. California Blvd., Pasadena, California;Caltech Concurrent Computation Program, 1201 E. California Blvd., Pasadena, California;Caltech Concurrent Computation Program, 1201 E. California Blvd., Pasadena, California;Caltech Concurrent Computation Program, 1201 E. California Blvd., Pasadena, California;Caltech Concurrent Computation Program, 1201 E. California Blvd., Pasadena, California;Caltech Concurrent Computation Program, 1201 E. California Blvd., Pasadena, California

  • Venue:
  • ANSS '89 Proceedings of the 22nd annual symposium on Simulation
  • Year:
  • 1989

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Abstract

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.