The Brain: ZenUniverse 1.0

zencircle01

“Tao can Tao not Tao”

Lao Tzu

Since reading the work of Clare W. Graves of Spiral Dynamics fame, reflecting on the work of all the people mentioned in my Blogroll as well as my recent foray into Zen I attempted to review and revise my work on the assortment of frameworks I had come up with. As I was making revisions it dawned on me that nature had done all the work already.

http://upload.wikimedia.org/wikipedia/en/c/c6/Boyd56.jpg

“Outside this office, Business as Usual;

Inside this office, Thunder and Lightning.”

Colonel John Boyd

I decided to take another angle of attack.  I realized I was dealing with entities, hierarchies, attributes and relationships and one thing Boyd overlooked, results, in two dimensions not one.  You may remember this graphic:

theboydpyramid

I realized I would have to take the Boyd Pyramid a bit more seriously.  And I have.  I compared Boyd’s work to Einstein’s, saw the correlations and what I think is a flaw.

albert-einstein

“The only real valuable thing is intuition.”

Albert Einstein

ZenEntity

The first thing I want to address is a misconception regarding solids.  It was one Plato made as well as R. Buckminster Fuller.  There are not five stable solids.  There are six.

The mistake Plato and R. Buckminster Fuller made was to demonstrate the stability of a triangle composed of three rods to their students while saying that the simplest solid in three dimensional space is the tetrahedron.  He didn’t realize the triangle in his hand was the simplest solid.  The triangle is a two sided three vertex solid that is the simplest enclosure of space.  Our eyes use two of them to locate an object and calculate distance.

Considering the above solid and the Platonic Solids we have six three dimensional closed network structures as illustrated below:

zensolids5002

Take note of the stability of each of the solids.  What this means is that the triangulated solids are able to support themselves structurally, while the non-triangulated solids collapse.

What I realized regarding the work of Einstein and other physicists is they did not regard the various phases of matter as important.  However the states of matter are important.  Each state from the triangle up to the icosahedron as illustrated above are higher states of order.  Yet, each state of order is fundamental to the universe in which we live.  And all are simply phases of what I call the “ZenEntity”.

ZenAssociations

I decided after looking at what I had found regarding the solids to reject contemporary empirical conventions and simply address one thing.  We have six fundamental ordered states.  After several billion years of evolution would not all organisms have what they require to function in response to all of the six states in their niche?

My next question was, “How do I represent the phenomena I had encountered as a network?”

In my profession there are data architects, database designers, data modelers, database administrators, data entrists, data analysts, database developers, database programmers database analysts, data warehouse architects, data warehouse analysts, data warehouse developers, Extract-Transform-Load architects, ETL analysts, ETL designers, ETL developers, ETL programmers, Business Intelligence architects, BI analysts, BI designers, BI developers and so on.  However, I was never satisfied with any of these position titles.  So, I coined one myself: data designer.  I was of the opinion no matter how much data was out there, it was finite.  Zero and Infinity were very useful, but they violated the laws of thermodynamics.  I saw seven distinct phases of order in the universe and only saw transitions from one state to another.  I could design according to those states.

This led me to explore how I could represent the six states.  I studied and applied a variety of project lifecycles such as System Development Lifecycle, Extreme Programming and Rapid Application Development, joint application development.  I had learned various enterprise frameworks such as Zachman and TOGAF, modeling techniques like UML, the various generations of programming languages, data structures, network topologies, organizational concepts, rule based systems, event based systems, data based systems, user centered design, goal directed design, location based services, pattern languages, service oriented architecture, hardware architectures and many more.  I studied English, Greek, Latin, Anglo-Saxon, German and French to see how I could develop a consistent taxonomy as well.

Ultimately I concluded that a majority of the people out there working on these problems had abandoned the basics for pet concepts.  They had no idea how many entities there were.  They had no idea how those entities should be related.  So I took it upon myself to identify all the relations that were applicable and came up with the following:

zenassociations5003

The associations are as follows:

  1. Pattribute: a triangle entity
  2. Battribute: a one to many relationship describing the association between a triangle and an tetrahedron
  3. Attribute: a one to one relationship describing the association between a triangle and a hexahedron
  4. Nattribute: a many to one relationship describing the association between a triangle and a octahedron
  5. Lattribute: a recursive many to one relationship describing the association between two icosahedrons and one icosahedron
  6. Mattribute: a recursive one to one relationship describing the association between two dodecahedrons

As you can see, the network is asymmetrical and allows for Node, Lattice, Tabular, Lattice, Linear; Lattice arrangements.  Note that since all of the entities are simply states of a single “ZenEntity” none of the states are independent from each other in the network.

ZenPhases

Now, that we have established the solids and how they are interconnected we can look at what the actual phases of the ZenEntity are.  Each of these phases are recognized in physics, however I have not come across any discussion of the possibility that they are together a set of fundamental phases.

zenphases5001

Usually, we see Space, Time, Energy and Mass described in Einsteinian classical physics.  We also have discussions of Ions, Gases, Liquids and Solids as states of matter.  But we don’t see them together.

  1. Energy: a three dimensional coordinate system
  2. Time: a connection between one three dimensional coordinate system and two four dimensional coordinate systems
  3. Ion: a connection between one three dimensional coordinate system and one six dimensional coordinate system
  4. Gas: a connection between two three dimensional coordinate systems and one eight dimensional coordinate system
  5. Liquid: a connection between two twelve dimensional coordinate system and one twelve dimensional coordinate system
  6. Solid: a connection between two twenty dimensional coordinate systems

Next, we will see how these states are all very important to our sensory systems.

ZenStates

As well as the phases there is another way to look at the six solids.  This is in the Latinate language of the six states.  The states differ from  the phases in that they deal with the essence or source of each of the states.

zenstates5006

The essence of each of the states is as follows:

  1. Pattern: Father
  2. Battern:  Hold
  3. Attern: Give
  4. Nattern: Birth
  5. Lattern: Milk
  6. Mattern: Mother

ZenSensors

Now, I am going to introduce you to some friends of mine.  I call them “Zen Sensors”

zensensors5001

As you can see each ZenEntity State has a coresponding human sensory organ:

  1. Eye: detect events
  2. Ear: detect pressures
  3. Nose: detect plasmas
  4. Throat: detect molecules
  5. Jaw: detect organics
  6. Body: detect inorganics

ZenInterrogatives

Next, we have for your viewing pleasure the standard interrogatives and how they correlate:

zeninterrogators5001

I found this interesting, because I spent a great deal of time resisting the order of these interrogatives.  Finally, I just went along and found ultimately the order does make perfect sense.  It is an acquired taste.

  1. Eye: Who: Identification
  2. Ear: What: Objectification
  3. Nose: Where: Location
  4. Throat: When: Chronation
  5. Jaw: Why: Rationation
  6. Body: How: Function

If you read enough Anglo-Saxon it makes sense.

ZenHemisphere

Having considered the Entities, Associations, States and Sensory Organs, let us now look at how this relates to a hemisphere of the brain:

zenhemispheres5001

The above illustration shows the left hemisphere of the brain and the major regions.  They are color coded to correspond to the fundamental states I have described.  You can also see the corresponding sensory organ as well as the corresponding network structure in the region:

  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.

ZenBrain

Everything is great so far, but there is the fact that there are two hemispheres to the brain and they interact through the Corpus Callosum which I claim is where the self resides.  One of the interesting things about my study of Latin is that I discovered most questions actually required a two part answer.  This answer would be composed of an Archetype and a Type.  After reading Jill Bolte Taylor’s book, My Stroke of Insight and listening to her account of her perceptions while the left hemisphere of her brain was being shut down by an exploded blood vessel, it became apparent to me that the left hemisphere of the brain contained the Types the Latin language required and the right hemisphere of the brain contained the Archetypes.  It was necessary to create a two axis model to accomodate a brain with two hemispheres:

zenuniverse5008

Each of the light colored cells in this table represent a connection between one coordinate system association (row) and another coordinate system association (column).  This accounts for the broad variety of properties we encounter making the states we experience.

There are actually not one or two, but four directions you can take on the above table.    Top to Bottom is right hemisphere deduction.  Bottom to Top is right hemisphere induction. Left to Right is left hemisphere deduction.  Right to Left is left hemisphere induction.

This is a physiological model of human perception that I have arrived at.  Our current definitions of dimensionality are incorrect.  Each state has its own dimensionality, its own associations, its own sense organs, its own region of the brain and the brain two hemispheres connected by the corpus callosum.  If the work of Dr. David Bryson on Physical, Decisional and Perceptual Learning is right, then deduction happens during waking and induction happens during sleeping.

This is not a complete model by any means as it does not deal with scale-free networks.  Or does it?

But to this point, that is the Zen Universe.

Link:

Posted in Uncategorized. Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , . 5 Comments »

Systema: Mix Thirty-Six

I came up with this representation of de Bono’s “Six Thinking Hats” and Zachman’s “Framework Focuses” early in this blog’s lifetime. I am hoping I have achieved the final form as we see it here. The major change is the switch between the last two rows and the switch between the last two columns. I consider this structure a fixed hierarchy both vertically and horizontally.

As part of my reflection upon this I created a table to think about the various hexads I’ve encountered:

One thing I realize from this exercise is that events are the definitions of the system. If you do not define an event you will never observe it. In other words, you cannot see what you are not looking for. Nodes are the instances of the system and provide the affordances the outside world can manipulate.

You can also see here that I have categorized cause, energy and time as “logical” and observer, mass and space as “physical”. I am just playing here, but what are the potential implications? Could cause, energy and time be simply logical constructs? Could observer, mass and space be the only truly physical constructs?

Related Post:

Systema: Seven Hats, Seven Links

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

STL: Structured Thinking Language R0.1

The more original a discovery, the more obvious it seems afterwards.
Arthur Koestler

Since I posted STL: Structured Thinking Language and STL: Structured Thinking Language (remix), I have made quite a bit of progress in my thinking regarding the syntax of Structured Thinking Language.

The Six Hats are no longer verbs. There are only two verbs in STL, INDUCE and DEDUCE. INDUCE is a bottom up process of learning the structure of a system. DEDUCE is a top down process of teaching the structure of a system. INDUCE observes and orients. DEDUCE decides and acts. All STL statements begin with the INDUCE or DEDUCE verb to determine whether you are referring to an existing or a new system.

Each of the verbs can also be IMPLICIT or EXPLICIT according to the definitions found in Implicity and Explicity.

The Six Hats are now six adjectives:

  1. CONCEPTUAL refers to the creation of entities. Revise. Creativity. Meaning.
  2. CONTEXTUAL refers to the creation of relationships. Relate. Relativity. Uniqueness.
  3. LOGICAL refers to the creation of attributes. Report. Optimicity. Benefit.
  4. PHYSICAL refers to the creation of constraints. Record. Pessimicity. Cost.
  5. MECHANICAL refers to the creation of affordances. Intuit. Anthropicity. Usability.
  6. OPERATIONAL refers to the creation of manipulations. Engage. Synchronicity. Convenience.

The Six Coats remain the unchanged nouns:

  1. MOTIVE refers to the rules of the system.
  2. LOCALE refers to to the nodes of the system.
  3. OBJECT refers to the data of the system.
  4. METHOD refers to the functions of the system.
  5. PERSON refers to the people of the system.
  6. MOMENT refers to the events of the system.

Giving us the following:

stl_r01_3.jpg

Now that we have the verbs, adjectives and nouns of STL we can work on the syntax:

INDUCE|DEDUCE IMPLICIT|EXPLICIT
CONCEPTUAL NOUN.nounname;    

INDUCE|DEDUCE IMPLICIT|EXPLICIT
CONTEXTUAL NOUN.nounname
                (   MOTIVE.motivename,
                    LOCALE.localename,
                    OBJECT.objectname,
                    METHOD.methodname,
                    PERSON.personname,
                    MOMENT.momentname
                );    

INDUCE|DEDUCE IMPLICIT|EXPLICIT
LOGICAL     NOUN.nounname.attributename;    

INDUCE|DEDUCE IMPLICIT|EXPLICIT
PHYSICAL    NOUN.nounname.attributename.constraintname;    

INDUCE|DEDUCE IMPLICIT|EXPLICIT
MECHANICAL      NOUN.nounname
		(	select,
			insert,
			update,
			delete
		);    

INDUCE|DEDUCE IMPLICIT|EXPLICIT
OPERATIONAL    NOUN.nounname.attributename.value;

NOUN can be any one of the Six Coats nouns. Noun name can be any name unique for that specific noun. Cardinality of context is always one to many be the relationship associative, relative or recursive. A noun has multiple attributes each with a constraint, affordances and ultimately a value.  Note I do not call mechanical access “privileges”.  I prefer “affordances”.

Structured Thinking Language R0.1

Trouble? Change Hats

I’ve just finished reading “Why Wait for Trouble?” by Kenneth W. Freeman in Strategy and Business. Kenneth described a five stage condition model of a company.

  1. Bleeding
  2. Stability
  3. Gradual Improvement
  4. Rapid Improvement
  5. Arrogance

The danger Kenneth described was remaining in any of these stages too long. I agree, but you probably guessed that I disagree that there are five stages. I believe there are six stages and there are symptoms of remaining in them too long. Again I am referring to my Six Hats, Six Coats metaphor.

  1. Blue Hat: Synchronization Failure. You are not performing transactions at the optimal rate. Bleeding.
  2. Red Hat: Personalization Failure. You are not addressing employee/customer needs. Over Stability.
  3. Black Hat: Physicalization Failure. You are not minimizing cost. Overly Gradual Improvement.
  4. White Hat: Logicalization Failure. You are not maximizing value. Overly Rapid Improvement.
  5. Yellow Hat: Contextual Failure. You are not maintaining uniqueness. Arrogance.
  6. Green Hat: Conceptual Failure. You are not revising your vision. Dictating.

These are the symptoms of wearing any of the Six Hats too long. You can also wear any of the Six Coats too long, but that remains for another post.

Objects, Objects, Objects

I’ve had a bit of an epiphany today as I was thinking about the Structured Thinking Language. It has to do with the process of creating databases, but is transferable to each of the focuses of the model.

The steps to designing a database are:

1. Conceptual Design
2. Contextual Design
3. Logical Design
4. Physical Design
5. Personal Design
6. Synchronal Design

First is the conceptual design of a object. This is the object motive or primary key attribution.

Second is the contextual design. This is the object location or foreign key attribution.

Third is the logical design. This is the object formation or non-key attribution.

Fourth is the physical design. This is the object function or domain attribution.

Fifth is the personal design. This is the object personation or ownership attribution.

Sixth is the synchronal design. This is the object momentation or datetime attribution.

A table is a collection objects with the same motive. A row is a collection of objects with the same location. A column is a collection of objects with the same formation. A domain is a collection of objects with the same function. A privilege is a collection of objects with the same personation. A schedule is a collection of objects with the same momentation.

A table is an object. A row is an object. A column is an object. A domain is an object. A privilege is an object. A schedule is an object. And they are all attributes of a datum object.

The same goes for each of the focuses.

It looks like I will be reviewing the naming of my STL verbs and nouns again.

Blue Data, Red Data and Black Data

In my Six Hats, Six Coats and Six Ring metaphors I have been discussing this diagram:

sixrings.jpg

It can also be presented as follows:

data.jpg

It has been a challenge to the traditional Data, Information, Knowledge and Wisdom hierarchy by introducing not one, but three forms of data.  I call them Blue Data, Red Data and Black Data.

Blue Data or Reflex Data is data that affects the system, but is not necessarily captured at all. It influences a transaction, but requires techniques external to regular data capture to record. Some of the most subtle aspects of design influence this level of a transaction.  This is when a customer leaves a website because the Flash presentation takes too long to load.

Red Data or Intuitive Data is registered by the system, but does not generate any exceptions or variances. Although the data affects the bottom line it does not register in the cognitive-physical or cognitive levels of the system.  This is “business as usual” data.

Black Data or Exception Data is registered by higher levels of the system.  This is data that calls for physical-cognitive response outside the domain of normal operation.  An example would be a customer having to make two orders of nine units and one order of seven units because the system cannot capture more than nine units in one transaction.

I believe that for the Data, Information, Knowledge and Wisdom model to be complete it has to recognize the significance of Blue Data, Red Data and Black Data. For business to truly be successful, it not only has to ascend the DIKW hierarchy, it has to descend the hierarchy below the traditional definition of data and recognize all of data’s facets.

And what is Information, Knowledge and Wisdom, but higher forms of data?

Six Hats, Six Coats: Red Hat

In an earlier post I created a variation on this ring diagram:

ridikw.jpg

I came up with the two lower levels of the ring diagram, reflex and intuition, after having given considerable thought to the Six Hats metaphor:

asixhatsb.jpg

And the Six Rings metaphor:

sixrings.jpg

I could see that these hexads revealed two levels that were rarely discussed in the context of Data, Information, Knowledge and Wisdom. I began to wonder how to correctly define them. After reading Edward de Bono’s Six Thinking Hats concept and John Zachman’s Framework which both contained six perspectives (Zachman considered Mechanical and Operational out of context, but made a point of including them) I began to look at the Red Hat and the Blue Hat in a new light.

Edward de Bono called the Red Hat the “intuitive” hat. Zachman referred to it as the implementation perspective. The Blue Hat de Bono called the “process” hat, Zachman called it the “operational” perspective. The Blue Hat I call the Operational or “reflex” hat. In this post I am going to discuss the Red Hat, which I call the Mechanical or “intuition” hat.

I find that intuition is not thoroughly discussed or well understood in most of the literature. However, Zachman’s framework gave me an alternative insight. In Zachman’s implementation perspective, design is translated into formally documented goals, network configurations, data definition language, program code, personnel roles, and system schedules. In otherwords, the mechanisms which the system enforceably observes. Any operations that fall outside of the implementation are treated as exceptions and flagged for handling at higher levels. The implementation defines intuitive behavior.

Intuitive behavior in us as persons is often called habit or subconscious behavior. When we train ourselves in any way we are implementing design. The literature says that it takes roughly twenty-one days to implement any habit. Habit has a motivational, spatial, formal, functional, personal and temporal component, what I describe as the Six Coats:

asixcoatsb.jpg

When we work within the boundaries of well developed habit we experience the phenomenon called flow. Flow is the handling of events without the occurrence of exceptions to our habits. One of the commonly used examples is a rally during tennis. The two well trained players play within their intuitive boundaries for a prolonged period of time. There is little cognition regarding the return of the ball. In fact, cognition may be focused elsewhere.

Walking is another example of intuition. It is possible to perform many cognitive-physical and cognitive actions while walking. And the flow of walking is rarely broken, even when negotiating a busy sidewalk or corridor.

One aspect of intuition that hasn’t been recognized and which de Bono and Zachman lead me to consider is that intuition observes a hierarchy:

sixrings02.jpg

There are high level intuitions and low level intuitions. We can have intuition about our sleeping habits, which is a temporal intuition focus. We can have intuition about walking, which is primarily a functional intuition focus. We can also have intuition about formal (data), spatial (networks) and motivational (goals) focuses. The higher the intuitive focus the more training it requires. This is also where the concept of “naturals” and the “refined” comes into play.

Naturals, are individuals who seem to have an intuitive focus mastered without training. Child prodigies are an example of naturals. However, there is nothing saying that any intuitive focus cannot be be trained to a level exceeding that of a natural. In this case we have the refined performer. Considering these two extremes, we can say that intuitive people can be born or made.

The intuitive difference between genders is another issue. Women are regarded as having superior intuitive abilities. This is attributed to a greater “white matter” content in women’s brains which emphasizes associations as in languages, while men have a greater “grey matter” content which emphasizes entities as in mathematics. However, association intuition and entity intuition both have been exhibited. Also, as in naturals and the refined, intuitive talents can be both born or made across genders.

I have shown that intuition operates below the Data level where exceptions are not handled, but passed upward cognitively when outside of the intuitive flow. I have also explained how intuition observes a hierarchy giving it a dimensionality that is often overlooked. Finally, I have demonstrated that intuition is the product of both innate ability and trained habit.

All systems have an intuitive level where the day passes and few events actually register cognitively. At this time we wonder where the day went. We have come to refer to this state as “business as usual”, but it can be the time of high productivity. Continual interruption of our intuitive processes can actually be counterproductive as it takes time to restore flow, to refocus.

Intuition does have a place in the DIKW hierarchy. But it requires us to descend the hierarchy to place it rightfully at the foundation where we can perform without cognitive registration.

It’s like the dancer said, “I was a good dancer until I started to think about it.”

 

 

The Size of Your Hat and Coat

In the last post I discussed the Six Rings metaphor which revealed that both the Six Hats and the Six Coats metaphors were both cognitive hierarchies. In this post I will discuss leadership or emphasis within a project or system.

First, we have the Six Hats which we can express as a Venn diagram:

hatsvenn.jpg

We can also express the Six Coats as a Venn diagram:

coatsvenn.jpg

These diagrams illustrate an equal emphasis on all the Hats and all the Coats. However, no system is completely balanced. An actual system might have a Six Hats Venn diagram like the following:

hatsvenndistorted2.jpg

In this example the emphasis is predominantly on the Blue Hat, Operational.

An actual system may also have a Six Coats Venn diagram as follows:

coatsvenndistorted.jpg

In this example it is the Black Coat, Functional that has emphasis.

Putting the Hat and Coat together we can say that the emphasis of the system or leadership of the project or business is Blue Hat, Black Coat or Operational/Functional. Here’s a Mix Thirty-Six diagram of the emphasis:

blueblack2.jpg

You can see that the Blue Hat row and the Black Coat column are larger.  If this were a computing project we could say that the operational perspective and functional focus are leading the effort. We are likely to get an effective transaction system at the expense of everything else. We hope that that is what the other systems that interact with ours will want.

This is a very simple example, but by analyzing the Mix Thirty-Six of external and internal systems we can realize beneficial systems. And everything is ultimately a system within its own right.

Six Rings

In my last post I revealed a ring metaphor that positioned Transaction, Intuition, Data, Information, Knowledge and Wisdom. Now that we have made the transition with a majority of the concepts from tetrads to hexads, we can now explore how the Six Hats, Six Coats metaphor can be shifted into the Six Rings metaphor. First, lets call up the Six Hats for review:

asixhatsb.jpg

As I discussed earlier, Conceptual is the Creative perspective, Contextual is the Compatibility perspective, Logical is the Reliability perspective, Physical is the Economy perspective, Mechanical is the Intuitability perspective and Operational is the Convenience perspective.

And now let’s take this metaphor and shift it into the Six Rings metaphor:

sixrings.jpg

As you can see I have given Creativity the highest order and Convenience the lowest.

With that done, let’s take another look at the Six Coats metaphor:

asixcoatsb.jpg

Motivational is the Goal focus.  Spatial is the Network focus.  Formal is the Data focus.  Functional is the Process focus.  Personal is the People focus.  Temporal is the Time focus.

Now let’s take the Six Coats metaphor and shift it to the Six Rings metaphor:

sixrings02.jpg

In the Six Rings metaphor I give Goals the highest order and Time the lowest order.

As you can see in these representations of the Six Hats and Six Coats as rings, there are other implications when we look at the Mix Thirty-Six:

ahatscoatsb.jpg

When we look at the Mix Thirty-Six the Blue Hat, Blue Coat requires the least cognitive effort, while the Green Hat, Green Coat requires the greatest. However, the Mix Thirty-Six describes a team and a network. Leadership and communication can follow different emphases and paths between Green Hat, Green Coat and Blue Hat, Blue Coat. And the best Green Hat, Green Coat and the best Blue Hat, Blue Coat has worn the entire Mix Thirty-Six. We will explore this more in future posts by introducing additional metaphors.

Further reading: Six Hats, Six Coats , Mix Thirty-Six and TIDIKW