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Self-organization with memory

Communications in Nonlinear Science and Numerical Simulation, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Biological Self-Organization

International Journal of Signs and Semiotic Systems, 2014
Biological organisation was long assumed to represent mechanical cause and effect reactions on a quantum theoretical basis following the laws of thermodynamics. Current empirical data show an abundance of signaling molecules that serve as information carriers in the exchange of information between biological agents.
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Self-Organized Networks [PDF]

open access: possible, 2017
During recent years the number of WiFi networks has experienced rapid growth. The evergrowingnumberofwirelesscommunicationssystemshavemadetheoptimalassignmentofalimited radio frequency spectrum a problem of primary importance. With the common 802.11 wireless technology, few non-overlapping channels are available, and there is no standard mechanism for ...
Stojanova, Aleksandra   +7 more
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SELF-ORGANIZING REPRESENTATIONS

Cybernetics and Systems, 2005
ABSTRACT Based on the three basic principles—cognitive relativity, rationality, and clarity—the Contextual Theory of Cognitive States provides a unified constructive platform, which may help to understand and model many of the puzzles of human activities, including culture, and other self-organizing phenomena.
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Self-Organizing MultiLayer Perceptron

IEEE Transactions on Neural Networks, 2010
In this paper, we propose an extension of a self-organizing map called self-organizing multilayer perceptron (SOMLP) whose purpose is to achieve quantization of spaces of functions. Based on the use of multilayer perceptron networks, SOMLP comprises the unsupervised as well as supervised learning algorithms.
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Empirical evidence of self‐organization?

Journal of the American Society for Information Science and Technology, 2002
AbstractIn a recent paper in this journal, Loet Leydesdorff and Gaston Heimeriks (2001, Journal of the American Society for Information Science and Technology, 52, 1262–1294.) argue that biotechnology develops in a self‐organizational mode, through interaction between the intellectual structure and the institutional network of the research field.
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Self-organizing processes

1994
Self-organizing feature maps are presented as an effcient tool for mapping process graphs onto processor networks. Arbitrary process graphs can be mapped to most of the common parallel architectures (two-dimensional lattice, three-dimensinal torus, hypercube, etc.). Two extensions of the Kohonen algorithm for self-organizing feature maps were necessary.
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