Icons: Programming


Design: Judean Framework and Czerepak Framework


Judaism’s “God’ Promise to Abram” is a thoroughly thought out system that addresses all the interrogatives. In this post I will give a brief elaboration of what I mean.

In my work with the Czerepak Framework I presented the following:

Trivergent Thinking

Freedom and Fiat

Divergent Thinkng

Future and Flow

Univergent Thinking

Function and Form

Convergent Thinking

Fruition and Fulfillment

Now, I am going to take the above structure and apply it to the Judean Framework, God’s Promise to Abram.  Let’s look at the passage as it is first:

Leave your country,
your people
and your father’s household
and go to the land I will show you
I will make you into a great nation
And I will bless you;
I will make your name great, and
You will be a blessing.
I will bless those who bless you,
And whoever curses you I will curse;
And all peoples on earth will be blessed through you.

Now let’s reorder it according to the Czerepak Framework:

Trivergent Thinking


I will make you into a great nation


I will make your name great

Divergent Thinking


go to the land I will show you


Leave your country,
your people
your father’s household

Univergent Thinking


I will bless you;
You will be a blessing.


I will bless those who bless you,
And whoever curses you I will curse;

Convergent Thinking


will be blessed through you


all peoples on earth

As you can see, although there some minor variation in order, there is a very solid correlation with the Czerepak Framework as a whole.  Whether it was a man called Abram or a collection of person’s who composed this promise, it is obvious that it is a complete system framework.


Universe: Interrogative Spaces


In my previous post I gave thought to Tim Brown of IDEO’s “design thinking”, Clayton Christensen’s “Innovator’s Dilemma”, Malcolm Gladwell’s “Tipping Point”, and Buckminster Fuller’s “Synergetics” concepts.  What emerged was the above Czerepak Framework.  My claim is this framework is fundamental to designing a system.

The thing that the above table shows is interaction within what I am now going to call the “Interrogative Spaces”: HowSpace, WhatSpace, WhySpace, WhoSpace, WhenSpace, WhereSpace, HowMuchSpace, HowManySpace.  Each ellipse I call a “vortice”.  The Interrogative Spaces are composed of one or more vortices.  The Framework above shows how Spaces are composed within the Interrogatives,  but what about interactions between the Interrogative Spaces?   A good example is speed or velocity.  Speed is the intersection of WhenSpace and WhereSpace:

v = r / t

Where v is velocity, r is radius and t is time.

If you are increasing Speed, which is acceleration, you have one dimension of WhereSpace and two dimensions of WhenSpace:

a = r / t’ * t”

Where a is acceleration, r is radius, t’ is the first clock and t” is the second clock.  You cannot measure acceleration with one clock. This uniqueness of every vortice applies to all the Interrogative Spaces and all inter-relationships between all of the Spaces.  .

Another way to look at the Interrogative Spaces is as sets and subsets.  The first row are the complete Space vortice sets.  The second row are the first Space vortice subsets.  The third row is the intersect between the row two and row three Space vortice subsets. And the fourth row are the intersects between the row two and row three and row four Space vortice subsets.

I do not believe that anything is constant.  Not the speed of light, not gravity, not cosmology.  Every intersection of dimensions creates a vortex in Universe and every one is unique.  We are simply unable to measure and manage the uniqueness of everything, therefore we make generalizations which create models that can always be falsified.

The Property Ontology

Court limits ‘business method’ patents

Oct 30, 3:45 PM (ET)


WASHINGTON (AP) – A federal appeals court on Thursday ruled against a man trying to patent a business idea, a decision with far-ranging implications for the financial services and high-tech industries, which have major players on both sides of the issue.

The U.S. Court of Appeals for the Federal Circuit ruled against Bernard Bilski, who wanted to patent a method for hedging against weather-related effects on businesses. Because his process did not involve a particular machine and did not physically transform anything, the court said, the process was not eligible for a patent.

Relying heavily on 1970s-era U.S. Supreme Court decisions that established the “machine-or-transformation test,” Chief Judge Paul Michel wrote for a nine-judge majority that Bilski’s patent application did not meet this definition of “process” under patent law.

The court affirmed the U.S. Patent and Trademark Office’s denial of Bilski’s patent, saying the agency’s interpretation of the “process” was correct.

Consulting firm Accenture and banking company Goldman Sachs Group Inc. (GS) (GS), among others, believed that processes like Bilski’s should be eligible for patents.

Denying the patent “eliminates a whole class of innovations from protection – business methods that rely on humans for execution,” Accenture wrote in a fact sheet arguing for reversal of the patent office’s decision.

But Bank of America Corp. (BAC) (BAC), Wachovia Corp. (WB) (WB) and a host of other companies argued in court briefs that allowing abstract ideas to be patented “hinders rather than promotes innovation.”

Companies that rely on computer-related patents could take heart from the court’s statement that processing data counts as “transformation,” making them patent-eligible. But the court punted on the question of whether mentioning a computer is enough to argue that a process involves a machine.

Two judges filed long dissents, arguing the decision could disrupt industries operating with patents that could be affected by the decision.

It would be nice to see India and China develop their own framework for rational, limited property rights.  The West’s property system is arcane and outmoded.  It reflects a patchwork ontology and is abusing the rights of the individual by corporate interests to the point of irrelevance.

There has to be a new method based on systems or networks of classification of property.  One that  pulls the foot out of the cow pie.  I say clear the ground in the East and build a new independent property institution.  Then phase it in globally.

I’m struggling with what the new ontology for property should be.  Are North Americans even the one’s who should reach the conclusion?

The United States Constitution was crafted before the United States corporation–legal slight of hand performed during the conclusion of the United States Civil War–existed.  Are we truly equipped philosophically and conceptually for individual rights, corporate rights and digital systems property?

If You Don’t Like the Speed, Get Off the Ride

We have lived in “exponential times” since the big bang (if there was one)


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Icons: System Security

I have been thinking about system security and the types of threats that malware presents to a system. There really are only four types of Malware: Spyders (Malevolent Select), Viruses (Malevolent Insert), Trojans (Malevolent Update) and Bombs (Malevolent Delete).  I’ve been playing with other terms: Causus (Cause), Ductus (Person), Modus (Function), Datus (Data), Eventus (Event), Locus (Node).  I have also included standard security measures:

I hope these icon ideas get you thinking about system security not just in the context of computer systems.

Icons: Systema

I finally put together a broad range of icons for the System Elements. Remember Causus (Why), Ductus (Who), Modus (How), Datus (What), Eventus (When), Locus (Where):

Six Hats, Six Coats and Knowledge Management

I was passed this link to a free Knowledge Management Course by a friend today.

I gave the entire course a read (it is not that long) and concluded that there was only one thing that the course covered that is not covered by the Six Hats, Six Coats as it has been explained so far. The issue is valuation, how do we know the cost/benefit of any fact. Otherwise, the authors wave the term “knowledge” around with little restraint to the point of its being meaningless. If they had it their way, everything would be knowledge. (I’ve been known to rant that everything is objects.)


To perform valuation of the Six Hats, Six Coats Framework, facts are each of the Six Coats columns: Motive, Locale, Object, Method, Person and Moment. Each of these can be reduced to their atomic granularity at the Blue Hat perspective row. One additional row can be added to the bottom, which is the benefit per manipulation. Each of the Six Hats is a row and can be accumulated in a seventh column, which is the cost per perspective. Each cell of the Six Hats, Six Coats Framework has a cost when it is created, but the benefit accumulates with each manipulation of its column at the Blue Hat level and is rolled up to the appropriate cell.

The rest of the Knowledge Management concepts are covered by the Six Hats, Six Coats Framework.

The Six Hats, Six Coats Framework provides not only knowledge. The Six Hats provide:

  1. Green Hat: Wisdom. Conceptualization. Creativity.
  2. Yellow Hat: Knowledge. Contextualization. Relativity.
  3. White Hat: Information. Logicalization. Optimicity.
  4. Black Hat: Data. Physicalization. Pessimicity.
  5. Red Hat: Regulation. Humanization. Anthropicity.
  6. Blue Hat: Conduction. Detectors and Effectors. Synchronicity.

The Six Hats, Six Coats Framework gives a clear definition of knowledge. Meta-Knowledge is the modeled relationships between the each of the entities within a system. This is the entity relationship diagrams for the facts. Knowledge is the actual references between each of the instances within a system. This is the actual database containing the facts. A rule relationship model, a node relationship model, a data relationship model, a function relationship model, a person relationship model and an event relationship model are meta-knowledge. Rule instance references, node instance references, data instance references, function instance references, person instance references and event instance references are knowledge.

“Mentifacts” and “Sociofacts” are obtuse terms. Person associations are extragroup, intergroup, intragroup, extrapersonal, interpersonal and intrapersonal. They are different perspectives a human takes to interaction and the adoption of facts from another system. Motive, locale, object, method, person and moment are all artifacts, better termed entities.

The definitions the course offers: “Know-what”, “Know-why”, “Know-how”, “Know-who” is incomplete and ill defined.

  1. Yellow Hat, Green Coat is Know-why. Contextual Motive.
  2. Yellow Hat, Yellow Coat is Know-where. Contextual Locale.
  3. Yellow Hat, White Coat is Know-what. Contextual Object.
  4. Yellow Hat, Black Coat is Know-how. Contextual Method.
  5. Yellow Hat, Red Coat is Know-who. Contextual Person.
  6. Yellow Hat, Blue Coat is Know-when. Contextual Moment.

Knowledge management is not simply Informal and Formal. Knowledge Management can be Implicit, Explicit, Tacit and Sonit. Implicit knowledge management handles knowledge that is documented and unchanging in the organization. Explicit knowledge management handles knowledge that is documented and changing. Tacit knowledge management handles knowledge that is undocumented and unchanging. Sonit knowledge management handles knowledge that is undocumented and changing.

The Six Hats, Six Coats Framework does not use the metaphor of a factory for knowledge processing. Instead the framework uses a system lifecycle of induction and deduction. The system repeats, refines, records, reports, relates and revises input; and revises, relates, reports, records, refines and repeats output. Only during the relate phase is input or output knowledge.

The concept of knowledge claims, I found intriguing, but confused between what is meta-knowledge and what is knowledge. I could only conclude that a knowledge claim is really a meta-knowledge claim. Validation of references, knowledge, is protected by referential integrity. A meta-knowledge claim would be validated by a corroboration of exceptions.

The quality of meta-knowledge is a question of how well the relationships for the dimensions handle input and output. If the probability of no exceptions is high the quality of the meta-knowledge is high. A change in context is a change in interacting systems and will affect the quality of an entire system’s performance not just one of its dimensions or of only its knowledge.

Validation of a system is not only knowledge validation. Validation of Conduction, Regulation, Data, Information, Knowledge and Wisdom are all necessary excercises. Because no system is completely Implicit, Explicit, Tacit or Sonit there will always be room for normal and exceptional input and output that has not been accounted for.

Knowledge has intrapolative predictive capabilities. Wisdom has extrapolative predictive capabilities. From this course Knowledge Management appears to know little about systems at all.

The course also attempts to use the three layer ANSI model of World, Knowledge, Meta-Knowledge to describe itself. I have no problem with that. However, because of the poor definition of knowledge in the first place the author begins fantasizing about endless additional layers. I have only found there needs to be three layers in every case I’ve tested. There is the world, the referential and the relational layers.

The sixth lesson of the course talks about innovation as the goal of Knowledge Management. I beg to differ. Innovation is a completely different perspective in the Six Hats, Six Coats Framework. Innovation is the Green Hat, conceptualization perspective. Knowledge assists conceptualization, however conceptualization is concerned with the entities of each of the fact dimensions, not the relationships. Relationships are interpolative, they can only exist between entities that exist. Entities are extrapolative, they can come into existence out of nothing and do not depend upon relationships to exist.

As far as the seventh section, Metrics, goes there is ultimately a cost/benefit ratio. All other metrics are irrelevant if the cost/benefit is done correctly. Cost is the expenditure required to build each cell, each model, of the system framework down to the atomic level. Benefit is the profit gained from each manipulation of the system at the atomic level.

“Knowledge Transfer” is the ability of your system to induct another system and then deduct with a profitable outcome.

You don’t need a Knowledge Management Team. You need a System Modeling Team and the Six Hats, Six Coats Framework. “Everything is a system” holds up to scrutiny better than any knowledge management claim.