In this paper we model statistically the patterns from complex systems and describe their evolution in time, using Information Geometry tools. In particular we propose an index capable to estimate the level of self-organization and foresee future problems in the systems.
Shape analysis for complex systems using information geometry tools
DE SANCTIS, Angela Anna
2012-01-01
Abstract
In this paper we model statistically the patterns from complex systems and describe their evolution in time, using Information Geometry tools. In particular we propose an index capable to estimate the level of self-organization and foresee future problems in the systems.File in questo prodotto:
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