Advanced Flucidity

The prime Flucidity model itself makes use of representation. As you can see below, each of the 4 elements has a name and symbol, as well as its primary numerical value*.

Working with Elemental Values & Predicting and Discovering Information

Working with a Flucidity model's elemental values enables us to predict and discover information. Everything in the universe, both physical and non-physical, functions as one of the four elements. (Though it can function as another element from another perspective, it does not serve two functions in the same model.)

Knowing its element we can then predict and discover information using simple math.

We can add elemental values if the values are added in ascending order, and the sum is a number in the set (in the prime model: 5, 3, 2, 1. In sub-models, whatever numbers are in the entire set).

We can subtract elemental values if the values are subtracted in descending order, and the difference is a number in the set.

The most basic formulas are:

1+2=3
2+3=5
5-3=2
3-2=1

For example, in the 1+2=3 formula we know that a dimension element ("1") plus a capiton element ("2") will result in a chaon element ("3").

The basic steps for information discovery are thus:

Represent
Apply formulas
Apply context

More complex methods for information discovery can be used when additional models are built.

Portability of Conjectures

One of the most powerful features of Flucidity is the portability of conjectures. This is the ability to use a prediction from one model on another model (changing the context to suit the representation, of course). As a simple example, we can take some of the predictions from a physics model and apply it to a company's conference call model.

A prediction in a physics model	becomes	a conjecture in a company conference call model
"When there are more particles in an energy field there is gravitational repulsion. When there are less particles in an energy field there is gravitational attraction."	becomes	"When there is more hierarchy in a meeting room there is conversation attraction. When there is less hierarchy in a meeting room there is conversation repulsion."
"When different forces (dimension elements) are applied to gravity, we get less interactive expressions"	becomes	"When hierarchy is applied to conversations we get less interactive expressions."
"Matter is gravity that has been structured"	becomes	"A conference call is a conversation that has been structured with a set agenda."
"Matter is always more attracted to less structured elements (less massive, less particulate) than itself and repelled by more structured elements than itself."	becomes	"A conference call will attracts less formal and hierarchical conversations than itself and repel more formal and hierarchical conversations than itself"

New predictions in the models will often predict useful behavior or activity. Using the example above we see that the fourth conjecture 'recommends' what the conference call attracted, which is a less formal conversation.

The more accurate your representations are in the model the more accurate and useful your predictions will be. The feedback from new models to old ones, and vice-versa, will enable the rapid evolution of your model set.

This is the feature of Flucidity that makes anything discoverable from any and every point, provided you know what the four elements are.

(Please note that the portability of conjectures has not been fully tested.)

Limitations of Flucidity Models

The primary Flucidity Theory model was created using Flucidity Theory. It is a direct representation of the universal process behind all things. Thus, the only limitation that it suffers is the inability to model what cannot be represented.

Using one or more models, anything and everything can be mapped with minimal external input.

Adding Models

Other Flucidity Theory models can be added onto the primary model. The example on the right illustrates how new models can be added to your primary model.

For ease of use, the element names has been replaced with what it represents (along with the appropriate symbols). Using natural language will result in freer associations in the elemental cloud.

For example, adding a dimension to a meton will produce a value of 6 (1+5) for the new element. The new element in this example is 'site menu'.

Whenever you attach a new model to an existing model you add the value of the older model element at the point of attachment to the value of the new element at the point of attachment. You then add the number of the old model element to the remaining elements in the new model.

Using this method, it is easy to find important correlations in models, discover new information and find missing information, predict, creating a map to perceptions, and much more.

(Please note the rules for adding and subtracting values.)

Should You Get Stuck

There are methods we can use to evolve a model or parts of a model. This is most useful if we are 'stuck' trying to think of what to do next. Following is such a method. It is not necessary to follow the same path as laid out below. You can "jump in" anywhere you are having difficulty.

Evolutive Method	As Used in Example: Teleportation
5 — Meton	to evolve the representation...
1 — dimension to clarify meton	develop rules and guidelines for teleportation. How can it be measured?
2 — capiton to enable meton	provide PE to rules and guidelines. Put them on the Internet.
3 — chaon to grow meton	allow others to add and respond to rules
1— Dimension	to evolve the structure and measurement...
2 — capiton to change dimension	rules and guidelines evolved via Internet
3 — chaon to repel dimension	hold weekly web conference regarding teleportation structure
5 — meton to solidify dimension	create a web app based on rules and guidelines, and for metrics
2 — Capiton	to evolve the potential energy...
3 — chaon to express capiton	allow others to interact via web app
5 — meton to increase capiton	create dynamic avatars in web app for users which represent "hosted user files"
1 — dimension to focus capiton	create new rules for web app and users using app.
3 — Chaon	to evolve the interactions and associations...
5 — meton to capture chaon	evolve representations to include personal media such as videos and photos
1 — dimension to attract chaon	create rules and structure to limit network interaction in teleportation community
2 — capiton to expand chaon	Network effects could expand to any IP-enabled device such as mobile phone

1st generation: In the above example we have evolved teleportation as mere concept to a working model web app that exchanges personal information with select others as a "hosted user file" that represents the user.

2nd generation onwards: The interactions and organization of the 'teleportation' concept-focused user community will create more and more evolved models of teleportation until eventually the concept is satisfied as a working model of teleportation.

In the above example, the outgrowth of the 'teleportation' concept is just one branch of models evolving from a single Representation element. Another community would have evolved a different branch of models, resulting in a different kind of 'teleportation' and a different realm of experiences being created

Notes

There is also a fifth non-element (a 'Flucon') with a value of "0". It is basically inexplicable.