| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 976291 | Physica A: Statistical Mechanics and its Applications | 2009 | 5 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Randall A. LaViolette, Kristin Glass, Richard Colbaugh,