The Brain: ZenUniverse: Seven Senses

zensevenuniversebrain1

  1. GREEN: EYE: OCCIPITAL LOBE: visual center of the brain
  2. YELLOW: EAR: TEMPORAL LOBE: sensory center of hearing in the brain.
  3. SKY: NOSE: BRAINSTEM: control of reflexes and such essential internal mechanisms as respiration and heartbeat.
  4. BLUE: TONGUE: PARIETAL LOBE: Complex sensory information from the body is processed in the parietal lobe, which also controls the ability to understand language.
  5. RED:  JAW: FRONTAL LOBE: control of skilled motor activity, including speech, mood and the ability to think.
  6. ORANGE: BODY:  CEREBELLUM: regulation and coordination of complex voluntary muscular movement as well as the maintenance of posture and balance.
  7. GREY: SELF: CORPUS CALLOSUM: The arched bridge of nervous tissue that connects the two cerebral hemispheres, allowing communication between the right and left sides of the brain.

zensevenuniversecolumn2

If you look at my first ZenUniverse post, you will see a six column model.  However, the System International Units require seven columns.

Here is a table of two hemisphere intersections.  I am using Latin roots, but you will recognize many of the terms:

zensevenuniversetable2

Here is a blank table you can print out and experiment with correlations and intersections of your own:

zensevenuniversecolumnblank

zensevenuniverseblank1

zensevenuniversebrain1

Link:

Universe: The Fabrics of Perception

https://i0.wp.com/www.historyforkids.org/learn/greeks/clothing/pictures/weaving.jpg

I am working with the Latin language and it is helping me to classify my thoughts more effectively by understanding historical correlations in meaning. For example matter was considered a fabric. The term for light, “lume”, comes from the term loom which alludes to textile manufacture. In fact all of the textile terms merge with geometry where they were practically applied.

WEAVE: a fabric
POINT: a intersection
LINE: a line
ANG: a cut
HEIR: an area
VOL: layers
QUAL: a bundle

These terms have influenced our thinking for literally thousands of years. We still talk of the “fabric” of space, the fabric of time and “material” or whatever. We are unintentionally applying a metaphor. Yet it is a metaphor that has served us well.

At this point I present a scale that I have arrived at for human sensory perception.

outsideness

– 8 , – 2 , – 1 , 0 , + 1 , + 2 , + 8

where

8 is infinity

2 is two

1 is one

0 is zero

+ is positive

– is negative

– 8 : WEAVE below perception: Datrice
– 2 : POINT: below acception: Sortrice
– 1 : LINE: below exception: Matrice
0 : ANGE: exception: Natrice
+ 1 : HEIR above exception: Patrice
+ 2 : VOL: above acception: Fratrice
+ 8 : QUAL: above perception: Satrice

1. WHO: Eyes: Occipital Lobe: Speciatation of Matter.

+ 8 , + 2 , + 1 , 0 , – 1 , – 2 , – 8

Standard prefixes with root ASTR for the night sky:

– 8 : WEAVISTER: below perception
– 2 : POINTISTER: below acception
– 1 : LINISTER: below exception
0 : ANGISTER: exception
+ 1 : HEIRISTER above exception
+ 2 : VOLISTER: above acception
+ 8 : QUALESTER: above perception

PhotonicPhotons, PhotonicElectrons, PhotoincIons, PhotonicGases, PhotonicLiquids, PhotonicSolids, PhotonicMolecules

2. WHAT: Ears: Temporal Lobe: Association of Matter

+ 8 , + 2 , + 1 , 0 , – 1 , – 2 , – 8

Standard prefixes with root FUL for Electricity or “Lightning” which is interesting because it means we hear events.

– 8 : WEAVIFUL: below perception
– 2 : POINTIFUL: below acception
– 1 : LINIFUL: below exception
0 : ANGIFUL: exception
+ 1 : HEIRIFUL: above exception
+ 2 : VOLIFUL: above acception
+ 8 : QUALIFUL: above perception

ElectronicPhotons, ElectronicElectons, ElectronicIons, ElectronicGases, ElectronicLiquids, ElectronicSolids, ElectronicMolecules

3. WHEN: Nose: Brainstem: Attibution of Matter

+ 8 , + 2 , + 1 , 0 , – 1 , – 2 , – 8

Standard prefixes with root FIED for Ions or burn which is interesting because it means we smell ions or things that are reactive.

– 8 : WEAVEFIED: below perception
– 2 : POINTFIED: below acception
– 1 : LINEFIED: below exception
0 : ANGFIED: exception
+ 1 : HEIRFIED: above exception
+ 2 : VOLFIED: above acception
+ 8 : QUALIFIED: above perception

IonicPhotons, IonicElectrons, IonicIons, IonicGases, IonicLiquids, IonicSolids, IonicMolecules

4. WHERE: Throat: Parietal Lobe: Domination of Matter

+ 8 , + 2 , + 1 , 0 , – 1 , – 2 , – 8

Standard prefixes with root AER for Gases

– 8 : WEAVIER: below perception
– 2 : POINTIER: below acception
– 1 : LINIER: below exception
0 : ANGIER: exception
+ 1 : HEIRIER: above exception
+ 2 : VOLIER: above acception
+ 8 : QUALIER: above perception

GasicPhotons, GasicElectrons, GasicIons, GasicGases, GasicLiquids, GasicSolids, GasicMolecules

5. WHY: Mouth: Frontal Lobe: Ingestion of Matter

+ 8 , + 2 , + 1 , 0 , – 1 , – 2 , – 8

Standard prefixes with root AEST for Liquids or “Sea” which is interesting because it means that the Sea is the surface of the water.

– 8 : WEAVIEST: below perception
– 2 : POINTIEST: below acception
– 1 : LINIEST: below exception
0 : ANGIEST: exception
+ 1 : HEIRIEST: above exception
+ 2 : VOLIEST: above acception
+ 8 : QUALIEST: above perception

LiquidicPhotons, LiquidicElectons, LiquidicIons, LiquidicGases, LiquidicLiquids, LiquiidicSolids, LiquidicMolecules

6. HOW: Body: Cerebellum: Deduction of Matter

+ 8 , + 2 , + 1 , 0 , – 1 , – 2 , – 8

Standard prefixes with root TER for Liquids or “Earth” because it means that the creators of the word Earth meant “water”.

– 8 : WEAVITER: below perception
– 2 : POINITER: below acception
– 1 : LINITER: below exception
0 : ANGITER: exception
+ 1 : HEIRITER: above exception
+ 2 : VOLITER: above acception
+ 8 : QUALITER: above perception

SolidicPhotons,  SolidicElectons, SolidicIons, SolidicGases, SolidicLiquids, SolidicSolidsSolidic, Molecules

HOW MUCH: Gut: brain region unknown

+ 8 , + 2 , + 1 , 0 , – 1 , – 2 , – 8

Standard prefixes with root DUCT for Counting which is interesting because this involves the digestive process.  Molecule literally means “soft stone”.  Another word for dung.

– 8 : WEAVIDUCT: below perception
– 2 : POINTIDUCT: below acception
– 1 : LINIDUCT: below exception
0 : ANGIDUCT: exception
+ 1 : HEIRIDUCT above exception
+ 2 : VOLIDUCT: above acception
+ 8 : QUALIDUCT: above perception

MoleculicPhotons, MoleculicElectrons, MoleculicIons, MoleculicGases, MoleculicLiquids, MoleculicSolids, MoleculicMolecules.

Note: The seven International System Units are:

– 8 : WEAVE: below perception: Candela
– 2 : POINT: below acception: Ampere
– 1 : LINE: below exception: Kelvin
0 : ANG: exception: Metre
+ 1 : HEIRabove exception: Second
+ 2 : VOL: above acception: Kilogram
+ 8 : QUAL: above perception: Mole

I posted all of the above, because I believe that classification is underrated. If we spent more time thinking about the aesthetics of our classification language, which is presently total crap, we might make more discoveries.

How much do we conceal from ourselves because we deceive ourselves into thinkng a dogmatic classification system won’t bear fruit.

Have you ever seen this guy?

https://relationary.files.wordpress.com/2007/11/mendeleevphoto.jpg

He beat his brains out letting the data talk to him and came up with this:

Periodic Table

When Dmitri Mendeleev created this table to describe periodic behaviour of the elements, many of the elements had not been discovered. However, the table projected what the properties of those elements would be making the search much easier.  Dmitri also was very good at making Vodka.

As I have discussed there are Satrice, Fratrice, Patrice, Natrice, Matrice, Sortrice and Datrice networks.  Each of them classify in different ways.  Understanding these networks and their classification are the road to new discoveries.  Networks are classification systems.

I just saw this in the New York Times:

knowledgemap

It is called a “Knowledge Map”.  It is a plot of the link clicking behaviour of a scientific community.  Not what they say is important, but where they are going that they think is important.  From this information it may be possible to reorganize knowledge to make it more accessible to everyone.

And that is what we are all here for getting and giving access.

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Systema: The Six Hats, Six Coats Hypercube

Later in this post we will discuss this man:

mendeleevphoto.jpg

The following table represents my interepretation of the Zachman Framework:

zachmantext.jpg

I have taken this framework and applied the following de Bono metaphor:

sixhats.jpg

I also incorporated my own metaphor to differentiate the axes:

sixcoats.jpg

These two modifications produced the following table:

sixhatssixcoats.jpg

This is where I had an “aha” moment. I asked myself what the entities would be:

sixhatssixcoatsentities.jpg

I also recognized that in each column these entities were related hierarchically allowing the creation of a six dimensional hypercube. In creating the hypercube it was possible to look at a variety of “slices”. For example:

motiveperson.jpg

The table above combines Motive with Person. We can see that Motive is verbal while Person is a noun.

Next we will combine Function and Data to create another slice:

functiondata.jpg

Again, Function is a verb and Data is a noun.

Let’s look at one final slice:

nodeevent.jpg

Here we see that nodes and time have many possible states.

But, why am I doing this exhaustive analysis of the possible combinations in the Six Hats, Six Coats hypercube?

Let’s go back in time for a moment and look at this table:

periodic_table.gif

When Dmitri Mendeleev created this table to describe periodic behaviour of the elements, many of the elements had not been discovered. However, the table projected what the properties of those elements would be making the search much easier.

The Six Hats, Six Coats hypercube is also a form of periodic table. Its entire collection of possible cells are called the framework space. Many of the cells in the hypercube do not yet exist, however their properties can be predicted. This makes their search and discovery of system components systematic instead of random or organic.

Related Posts:

Systema: Seven Hats, Seven Links

Structured Thinking System: Moments

If you realize that all things change, there is nothing you will try to hold on to.
If you are not afraid of dying, there is nothing you cannot achieve.
Lao Tzu

sts-entities.jpg

  1. YEAR refers to universal time. Moral Law duration.
  2. MONTH refers to global time. Command duration.
  3. DAY refers to corporate time. Discipline duration.
  4. HOUR refers to scholarly time. Training duration.
  5. MINUTE refers to domestic time. Terrain duration.
  6. SECOND refers to bodily time. Climate duration.

Related Links:

Posted in Uncategorized. Tags: , , , , , , , . 1 Comment »

STL: Shakedown R0.4

structured-thinking

I believe we are on an irreversible trend toward more freedom and democracy
– but that could change.
Dan Quayle

I’ve been playing with writing STL code for a couple of days now and have been working out some major logical issues. Actually trying to write code instead of syntax that is logical has shaken down the Six Hats, Six Coats Framework considerably. Sort of like dismantling and rebuilding a Chevy and then taking it on its first drive through the neighborhood without a muffler.

One of the things I have discovered is that Structured Thinking Language is best for describing Structured Thinking Systems (The Six Hats, Six Coats Framework). So let’s take a look at what I found.

First, we will go over the revised verbs and nouns. Here are the Structured Thinking Verbs:

stl-verbs.jpg

  1. CREATE refers to the extistential. Capability. Right a wrong.
  2. RELATE refers to the unity. Portability. Have a mantra.
  3. REPORT refers to the benefit. Reliability. Unique and valuable.
  4. RECORD refers to the cost. Profitability. Have a business plan.
  5. AFFORD refers to the usability. Security. Easy to adopt.
  6. ENGAGE refers to the convenience. Availability. Spawn evangelists.

And Here are the Structured Thinking Nouns:

stl-nouns.jpg

  1. MOTIVE refers to the rule hierarchy. Moral Law.
  2. PERSON refers to the people hierarchy. Command.
  3. OBJECT refers to the data hierarchy. Discipline.
  4. METHOD refers to the function hierarchy. Training.
  5. LOCALE refers to to the node hierarchy. Terrain.
  6. MOMENT refers to the event hierarchy. Climate.

This gives us our Structured Thinking Framework:

structuredthinking02.jpg

What we have as a result is the meshing of six horizontal hierarchies and six vertical hierarchies.

Next, we create all of the entities. There are six entities per noun.

CREATE	CreateName
	MOTIVE	(	Virtue,
			Unity,
 			Esteem,
 			Accord,
 			Safety,
 			Entity
 		) 

 	PERSON	(	Creator,
			Leader,
			Patron,
			Member,
			Friend,
			Teller
 		) 

 	OBJECT	(	Motive,
 			Person,
 			Object,
 			Method,
 			Locale,
 			Moment
 		) 

 	METHOD	(	Create,
 			Relate,
 			Report,
 			Record,
 			Afford,
 			Engage
 		) 

 	LOCALE	(	ExtraNet,
 			InterNet,
 			IntraNet,
 			ExtraNode,
 			InterNode,
 			IntraNode
 		)
 	MOMENT	(	Year,
 			Month,
 			Day,
 			Hour,
 			Minute,
 			Second
 		);

Next we relate the entities to one another. The keys are surrogates, so they are not visible. I am building a set of relationships from left to right on each row and a set of relationships top to bottom on each column:

RELATE 	RelationshipName
 	(	MOTIVE.Virtue 	TO MOTIVE.Unity,
		MOTIVE.Unity	TO MOTIVE.Esteem,
 		MOTIVE.Esteem 	TO MOTIVE.Accord,
 		MOTIVE.Accord 	TO MOTIVE.Safety,
 		MOTIVE.Safety 	TO MOTIVE.Entity
		MOTIVE.Mantra 	TO PERSON.Creator,
 		PERSON.Creator  TO OBJECT.Motive,
 		OBJECT.Motive 	TO METHOD.Create,
 		METHOD.Create 	TO LOCALE.ExtraNet,
 		LOCALE.ExtraNet	TO MOMENT.Year
 		PERSON.Creator 	TO PERSON.Leader,
 		PERSON.Leader 	TO PERSON.Patron,
 		PERSON.Patron 	TO PERSON.Member,
 		PERSON.Member 	TO PERSON.Friend,
 		PERSON.Friend 	TO PERSON.Teller,
		MOTIVE.Unity 	TO PERSON.Leader,
 		PERSON.Leader	TO OBJECT.Person,
 		OBJECT.Person	TO METHOD.Relate,
 		METHOD.Relate	TO LOCALE.InterNet,
		...
 	);

This gives us the following entities composing our Structured Thinking System (STS):

stl-entities-03.jpg

As you can see, the order of the columns have been changed. You can also see that I have changed the color coding of the hats and coats to better reflect common usage in the industry (ie. Black Hat = Secure). I also think I am coming more into line with de Bono, but the jury is still out on that one.

Another issue raised in making the relationships is they are one to many as they proceed left to right across the rows and one to many as they proceed down the columns. There is no compromise to this if the system is to work at peak effectiveness.

There is no need for normalization or denormalization as the structure is fully normalized. There is also no need for attributes because they are identical for every entity:

  • Motive
  • Person
  • Object
  • Method
  • Locale
  • Moment

I am at a turning point here. I have to go deeper into the model to determine how to create attributes. Which I have not yet attempted. I have to save it for later posts.

Now we can create our reports. This is an alternate function of the six verbs that occurred to me. Note that the selected cells are all adjacent to one another either horizontally or vertically and flow from left to right; top to bottom:

REPORT	ReportName
 	(	MOTIVE.Esteem,
 		MOTIVE.Accord,
 		PERSON.Member,
 		OBJECT.Method,
 		METHOD.Record,
 		METHOD.Afford,
 		LOCALE.IntraNode,
 		MOMENT.Minute
 	);

Giving us the following Report:

If you want to throw in some filters it is easy:

REPORT	ReportName 

 	(	MOTIVE.Esteem,
 		MOTIVE.Accord,
 		PERSON.Member = John Doe,
 		OBJECT.Method,
 		METHOD.Record,
 		METHOD.Afford,
 		LOCALE.IntraNode,
 		MOMENT.Minute = 30 	);

The “30” aggregates to every 30 minutes.

Now we can plan our data capture. Again an alternate use for the RECORD verb. Again the cells for capture are all adjacent to the left or down:

RECORD	RecordName
 	(	MOTIVE.Esteem,
 		PERSON.Patron,
 		PERSON.Member,
 		OBJECT.Method
 );

This would create the following form:

Here we set up the affordances for the entities:

AFFORD	AffordName
 		RECORD.RecordName
	TO 	PERSON.Member;

Finally, we execute the RECORD Script and as the Member isn’t given the Member must log in:

ENGAGE	EngageName
 	(	RECORD.RecordName
	AND	PERSON.Member
	);

The code I have created here is a radical departure from the syntax releases I have come out with so far as I realized what the design was leading me to create. And that is the clincher. The design brought itself out. I have just been trying to follow it along.

What I am finding is there are not four verbs–Select, Insert, Update, Delete–but six–create, relate, report, record, afford and engage!

Related Posts:

Systema: Seven Hats, Seven Links