## Knowledge Representation – Holographic Heart Torus

Holographic Heart Torus by Ryan Cameron on YouTube

March 11, 2018 | Categories: Fractals, Holons, Holors, Hyperbolic Geometry, Knowledge, Knowledge Representation, Language, Learning, Linguistics, Mathematics, Mathesis Generalis, Mathesis Universalis, Metamathematics, Philosophy, Philosophy of Language, Philosophy of Learning, Philosophy Of Mind, Semantic Web, Semantics, Understanding, Wisdom | Tags: knowledge, Language, learning, Philosophy, understanding | Leave a comment

## Knowledge Representation – Fractal Torus 1

Fractal Torus 1 by Ryan Cameron on YouTube

March 11, 2018 | Categories: Fractals, Holons, Holors, Hyperbolic Geometry, Knowledge, Knowledge Representation, Learning, Linguistics, Mathesis Universalis, Philosophy of Language, Philosophy of Learning, Philosophy Of Mind, Semantic Web, Semantics | Tags: knowledge, Knowledge Representation, learning, Mathesis Generalis, Mathesis Universalis, Philosophia Universalis, Philosophy of Language, Philosophy Of Mind, Semantics, understanding, wisdom | Leave a comment

## Lateral Numbers – How ‘Imaginary Numbers’ May Be Understood

First, allow me to rename theses numbers during the remainder of this post to ** lateral numbers**, in accordance to the naming convention as was

**recommended by Gauss**. I have a special reason for using this naming convention. It will later become apparent why I’ve done this.

If we examine lateral numbers *algebraically*, a pattern emerges:

When we raise lateral numbers to higher powers, the answers do not get higher and higher in value like other numbers do. Instead, **a pattern emerges after every 4th multiplication.** This pattern never ceases.

**All other numbers, besides laterals, have a place on what currently is called the ‘Real number line’.**

I qualify the naming of the Real Numbers, because even their conceptualisation has come into question by some very incisive modern mathematicians. That is a very ‘volatile’ subject for conventional mathematicians and would take us off on a different tangent, so I’ll leave that idea for a different post.

If we look for laterals on any conventional Real number line, we will never ‘locate’ them.** ***They are found there,** but we need to look at numbers differently in order to ‘see’ them.*

**Lateral numbers solve one problem in particular: ***to find a number, which when multiplied by itself, yields another negative number.*

Lateral numbers** **‘

**’**

*unify*

*the number line with the algebraic pattern shown above.*2 is positive and, when multiplied by itself, yields a positive number. It maintains direction on the number line.

When one of the numbers (leaving squaring briefly) being multiplied is negative, the multiplication yields a negative number. The direction ‘flips’ 180° into the opposite direction.

Multiplying -2 by -2 brings us back to the positive direction, because of the change resulting in multiplying by a negative number, which always flips our direction on the number line.

So, it appears as if there’s no way of landing on a negative number, right? We need a number that only rotates 90°, instead of the 180° when using negative numbers. **This is where lateral numbers come into play.**

If we place another lateral axis perpendicular to our ‘Real’ number line, we obtain the desired fit of geometry with our algebra.

When we multiply our ‘Real’ number 1 by *i*, we get *i* *algebraically*, which *geometrically* corresponds to a 90° rotation from 1 to *i*.

Now, multiplying by i again results in i squared, which is -1. This additional 90° rotation equals the customary 180° rotation when multiplying by -1 (above).

We may even look at this point as if we were viewing it down a perpendicular axis of the origin itself (moving in towards the origin from our vantage point, through the origin, and then out the back of our screen).

###### [If we allow this interpretation, we can identify the ‘spin’ of a point around the axis of its own origin! The amount of spin is determined by how much the point moves laterally in terms of *i*.

We may even determine in which direction the rotation is made. I’ll add how this is done to this post soon.]

Each time we increase our rotation by multiplying by a factor of* i*, we increase our rotation another 90°, as seen here:

and,

The cycle repeats itself on every 4th power of *i*.

**We could even add additional lateral numbers to any arbitrary point. This is what I do in my knowledge representations of holons. **For example a point at say 5 may be expressed as any number of laterals *i, j, k,… *simply by adding or subtracting some amount of* i, j, k,…:*

*5 + i + j +k +…*

Or better as:

[*5, i, j, k,…*]

**Seeing numbers in this fashion makes a point*** n***-dimensional.**

November 14, 2017 | Categories: Constants, Holons, Holors, Hyperbolic Geometry, Knowledge, Knowledge Representation, Language, Learning, Linguistics, Mathematics, Mathesis Universalis, Metamathematics, Philosophy of Language, Philosophy of Learning, Philosophy Of Mind, Semantic Web, Semantics | Tags: Mathematica Generalis, Mathematica Universalis, Mathesis Generalis, Mathesis Universalis, Metamathematics | Leave a comment

## Universal Constants, Variations, and Identities #19 (Inverse Awareness)

**Universal Constants, Variations, and Identities**

#19 **The Inverse Awareness Relation**

The Inverse Awareness Relation establishes a fundamental relationship in our universe:

```
```and

Macro Awareness =

or

```
```

```
```Which essentially state:

**The closer awareness is in some way to an entity, ***the more depth and the less scope it discerns.*

**The farther awareness is in some way to an entity, ***the more scope and the less depth it discerns.*

(Be careful, this idea of closeness is not the same as distance.)

```
```
May 15, 2017 | Categories: Discernment, Holons, Holors, Hyperbolic Geometry, Identities, Insight, Knowledge, Knowledge Representation, Language, Learning, Linguistics, Mathesis Generalis, Mathesis Universalis, Metamathematics, Metaphysics, Philosophy, Philosophy of Language, Philosophy of Learning, Philosophy Of Mind, Semantic Web, Semantics, Understanding, Universal Constants, Variations, and Identities, Variations, Wisdom | Tags: knowledge, Language, learning, Linguistics, LogicaUniversalis, Mathesis Universalis, Philosophia Universalis, Philosophy, Philosophy of Language, Philosophy of Learning, Philosophy Of Mind, understanding | Leave a comment

```
```

## HUD Fly-by Test

Don’t take this as an actual knowledge representation; rather, simply a simulation of one. I’m working out the colour, transparent/translucent, camera movements, and other technical issues.

In any case you may find it interesting.

The real representations are coming soon.

August 21, 2016 | Categories: Big Data, Holons, Holors, Hyperbolic Geometry, Knowledge, Knowledge Representation, Language, Learning, Linguistics, Logic, Long Data, Mathesis Generalis, Mathesis Universalis, Meta Logic, Metamathematics, Metaphysics, Philosophy, Understanding, Wisdom | Tags: BigData, Constants, Hyperbolic Geometry, insight, knowledge, Knowledge Representation, learning, Logica Generalis, Logica Universalis, Mathesis Generalis, Mathesis Universalis, Metalogic, Metamathematics, Metaphysics, Philosophia Generalis, Philosophia Universalis, Philosophy, Philosophy of Language, Philosophy of Learning, Philosopohy of Mind, Scientia Universalis, understanding, Universal Constants, Universalis, wisdom | Leave a comment