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Deep information from limited observation of robust yet fragile systems |
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| Authors: | Randall A LaViolette Kristin Glass |
| Institution: | a Sandia National Laboratories, P.O. Box 5800, Albuquerque, NM, 87185, USA b New Mexico Institute of Mining and Technology, Socorro, NM, 87801, USA |
| Abstract: | We show how one can completely reconstruct even moderately optimized configurations of the Forest Fire model with relatively few observations. We discuss the relationship between the deep information from limited observations (DILO) to the robust-yet-fragile (RYF) property of the Forest Fire model and propose that DILO may be a general property of RYF complex systems. |
| Keywords: | Random systems Complex systems Robust yet fragile Deep information Limited observations Vulnerability |
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