ISOM SYMBOLIC ART

Monday, April 23, 2012

Sunday, April 22, 2012

Positive and Negative Link Baiting: The Risks and Rewards - Search Engine Watch (#SEW):

"Good Link Bait - Is the kind of work that an author can take pride in because it represents the culmination of a long process or a substantial burst of inspiration. It should also be considered exceptional in its space and provide value to users. In order to be link bait it also has to get links.

Bad Link Bait - Is the type of content that is intentionally inflammatory, outlandish, insulting, off-base or just meant to rub people the wrong way. But to be classified as “link bait” it has to pick up links. Otherwise, it’s just making a fool of yourself in public."

Saturday, April 21, 2012

Quantum Cryptography...

Friday, April 20, 2012

Quantum realm...

Thursday, April 19, 2012

Quantum uncertainties...

Wednesday, April 18, 2012

Self-organizing behavior...

I485/I585: Self-Organization and Emergent Complex Behavior: "by luis m. rocha Lecture notes for I485/I585/I601 - : Biologically Inspired Computing. School of Informatics, Indiana University. Also available in adobe acrobat pdf format Self-organization is usually understood as the process by which systems of many components tend to reach a particular state, a set of cycling states, or a small volume of their state space (attractor basins), with no external interference. This attractor behavior is often recognized at a different level of observation as the spontaneous formation of well-organized structures, patterns, or behaviors, from random initial conditions (emergent behavior). The systems used to study this behavior are referred to as dynamical systems or state-determined systems, since every trajectory is perfectly determined by its initial state. Dynamical systems are traditionally studied by continuous variables and sets of discrete-time difference equations (such as the logistic map) or continuous-time differential equations (such as models of the motion of bodies under gravitational forces). However, self-organization is more easily studied computationally with discrete dynamical systems (DDS) such as Boolean networks or cellular automata"