Topological Characterization of Complex Systems: Using Persistent Entropy

Topological Characterization of Complex Systems: Using Persistent Entropy

In this paper, we propose a methodology for deriving a model of a complex system by exploiting the information extracted from topological data analysis. Central to our approach is the S[B] paradigm in which a complex system is represented by a two-level model. One level, the structural S one, is der...

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Bibliographic Details
Main Authors: Emanuela Merelli, Matteo Rucco, Peter Sloot, Luca Tesei
Format: Article
Language:English
Published: MDPI AG 2015-10-01
Series:Entropy
Subjects:
topological data analysis
persistent entropy automaton
higher dimensional automata
immune system
idiotypic network
computational agents
Online Access:http://www.mdpi.com/1099-4300/17/10/6872

Internet

http://www.mdpi.com/1099-4300/17/10/6872

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