Dynamics of self-organization in complex adaptive networks
type: Item
instance of: scholarly article
title: Dynamics of self-organization in complex adaptive networks
zbMATH Open document ID: 0583.68026
DOI: 10.1007/BF01018550
published in: Journal of Statistical Physics
publication date: 1984-01-01T00:00:00Z
review text: We study the dynamical behavior of complex adaptive automata during unsupervised learning of periodic training sets. A new technique for their analysis is presented and applied to an adaptive network with distributed memory. We show that with general imput pattern sequences, the system can display behavior that ranges from convergence into simple fixed points and oscillations to chaotic wanderings. We also test the ability of the self-organized automaton to recognize spatial patterns, discriminate between them, and to elicit meaningful information out of noisy inputs. In this configuration we determine that the higher the ratio of excitation to inhibition, the broader the equivalence class into which patterns are put together.
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 3934411
zbMATH Keywords: recognition
zbMATH Keywords: dynamical behavior of complex adaptive automata
zbMATH Keywords: unsupervised learning of periodic training sets
zbMATH Keywords: adaptive network with distributed memory
author: Dominique d'Humières
author: Bernardo A. Huberman
MaRDI profile type: Publication
cites work: Q4167627
cites work: Analysis and simulation of networks of mutually inhibiting neurons
cites work: A committee machine with a set of networks composed of two single- threshold elements as committee members
full work available at URL: https://doi.org/10.1007/bf01018550
OpenAlex ID: W2035699943
description: scientific article; zbMATH DE number 3934411