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Self-organization

Artificial Intelligence Selecting variablesSelf-organizing

Self-Organization A spontaneously formed higher-level pattern of structure or function that is emergent through the interactions of lower-level objects.

 


Mechanisms of self-organization
everal mechanisms and preconditions are necessary for systems to self-organize (Nicolis and Prigogine 1989, Forrest and Jones 1995).

Another example of self-organization would be the growth of a human from a single impregnated egg cell. The cell divides and each cell checks two things: 1) What the other cells around it are doing. 2) What the DNA says about what the others are ...

Self-Organization in Biological Systems. Princeton: Princeton University Press, 2003.
^ D. T. Pham, E. KoƧ, A. Ghanbarzadeh, and S.

2 Principles of Self-Organization 368
8.3 Self-Organized Feature Analysis 372
8.4 Principal-Components Analysis: Perturbation Theory 373
8.5 Hebbian-Based Maximum Eigenfilter 383
8.6 Hebbian-Based Principal-Components Analysis 392
8.

is using this powerful new tool to look for elementary principles of self-organization that might shed new light on long-standing puzzles about how humans interact. ...

Flake then goes on to look at self-organization and emergent behaviour such as artificial termites, Langton's Ants, and the famous Boids example.

More advanced algorithms related to k means are Expected Maximization (EM) algorithm especially Gaussian Mixture, Self-Organization Map (SOM) from Kohonen, Learning Vector Quantization (LVQ).

This is clearly rather different from the brain which "by itself" is able to set up connections between neurons in order to accomplish certain functions - it is said to exhibit self-organization.

"Constrained Clustering as an Optimization Method" (Rose, Gurewitz, & Fox, IEEE Trans Patt Anal and Mach Intel 15(8), 1993, pp785--794)
"GTM: The Generative Topographic Mapping"
"Self-Organization as an Iterative Kernel Smoothing Process" ...

In unsupervised training, the network is provided with inputs but not with desired outputs. The system itself must then decide what features it will use to group the input data. This is often referred to as self-organization or adaption.

nature of trauma-induced plasticity, the logic cannot be so straightforward. Similar problems underlie work on developmental disorders and the emerging field of "cognitive genetics", in which the consequences of neural self-organization are ...

See also: Neural network, Artificial intelligence, Complexity, Percept, Agent

Artificial Intelligence Selecting variablesSelf-organizing

 
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