Deep information from limited observation of robust yet fragile systems

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.

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Year of publication:	2009
Authors:	LaViolette, Randall A. ; Glass, Kristin ; Colbaugh, Richard
Published in:	Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 388.2009, 17, p. 3283-3287
Publisher:	Elsevier
Subject:	Random systems \| Complex systems \| Robust yet fragile \| Deep information \| Limited observations \| Vulnerability

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010872362