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Classifying loops according to their complexity levels and entropy Fully closed loops Semi-closed loops Systems with more entries than exits Systems with more exits than entries Extreme unipolar loops

What are loops?

In means of system analysis loops are regarded as algorithmic self-refering, self-replicating, self-interfering, and/or self-simplifying/self-optimizing patterns. The topic of patterns will be more deeply discussed in chapter Insular patterns in meta-analysis.

Loops can be grouped according to their complexity levels and further to some other parameters regarding entries and exits.

Classifying loops according to their complexity levels and entropy

Loops can be classified using their level of self-sufficiency and how the distribution is between entries and exits.

Entries are openings of the system that get input; whilst exits are opening that give output.

Self-sufficiency is the quantity of intertwinedness, or how often a singular entity travels through its "strangled" medium, the superordinated system.
"Strangled" can be interpreted in means of having fewer exits and/or entries, so that it creates some sort of congestion, which leads to more self-interference.

More complex loops have a higher degree of self-sufficiency, and/or a higher amount of entries than exits.

Fully closed loop

Fully closed loops have neither an exit nor an entry; They are isolated per definition and an extreme form.

Semi-closed loops

Semi-closed loops are loops that have a high self-sufficiency rate, and are therefore primarily strangled from the number of exits and entries. This leads to far more dynamics inside that system itself. This strangling leads inevitably to amplification of already existent patterns.
The LASER works that way as it amplifies already existent light waves (patterns).

Systems with more entries than exits

Systems that have more entries than exits densify themselves; this increases self-amplification dynamics and has a side-effect of also increasing complexity.

Systems with more exits than entries

Systems that have more exits than entries decrease their density. Less density will "colden" that system, decrease the complexity and their self-amplification rate.

Extreme unipolar loops; Absolute of either entries or exits

Similar to the other extreme form with neither exits nor entries, the other two extreme forms of either 100 percent only entries or 100 percent only exits, behaves quite similar.
An extreme form could be a singularity, which has zero exits, but everything can enter.

Absolute values behave very strange; They tend to switch to their absolute opposites simultaneously as well as leading to complete self-annihilation; Don't we already know this behavior in isolated elementary particles, that's called superposition?

We will discuss it in a further chapter contemplating the zero fold and quantum conformity.

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