Systema: CI-DIKW Hierarchy Definitions

I have been wanting to clearly define each of the terms Data, Information, Knowledge and Wisdom for some time. I have thought about Artificial Intelligence, Knowledge Bases, Knowledge Management, Data Management and other disciplines and have decided on the following simple definitions:

  1. Wisdom is the ability to model entities in a system. This is extrapolative.
  2. Knowledge is the ability to model relationships in a system. This is interpolative.
  3. Information is the ability to model attributes in a system. This is intrapolative.
  4. Data is the ability to model constraints in a system. This is extrapolitive.
  5. Intuition is the ability to model definitions in a system. This is interpolitive.
  6. Communication is the ability to model manipulations to and from a system. This is intrapolitive.

I have been forced to come up with the root “polite” to describe a single input value as opposed to “polar” which is a collection of input values. But what I want to point out is there is no automated tool capable of creating new models of communication, intuition, data, information, knowledge or wisdom, as simply defined as this is, that can be regarded as “intelligent.”
The above six perspectives affect the following focuses or modeling languages:

  1. Motivation Modeling
  2. Network Modeling
  3. Data Modeling
  4. Process Modeling
  5. Person Modeling
  6. Time Modeling

The perspectives CIDIKW and focuses MNDPPT make a thirty-six cell framework I call the Six Hats, Six Coats Framework. What I am pointing out here is that no system is simply one dimensional. Human systems are six dimensional at least. There is also a meta-layer, the model, and a data-layer, the database, for each dimension. The modeling systems and databases for all the dimensions are still very primitive and incompatible. Slowly, we are getting there, but there is more than enough work out there for anyone who wants to come up with a consistent modeling language. And if you do, you will have the foundation for a true AI.

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Systema: Exteroception and Interoception

hugo-critchley.jpg

I was reading an article in Scientific American MIND this evening which discussed the research of Hugo Critchley on emotional intelligence and interoception. Interoception which is narrowly defined as the perception of stimuli inside the body. Interoception activates the brain’s right insular cortex and has lead Critchley to a broader definition of interoception. The reason being that not only perception of internal stimuli, but of emotion results in intense activity in the insular cortex. It has also been found that another center in the brain associated with ideas, motives and values often shows activity in conjunction with insular cortical activity. The right insular cortex appears to be the location where mind and body meet. Neurologically, you perceive hunger in the same way you perceive anger. You have a physical location for intuition, that “gut feeling”.

So, why do I bring this up? The main reason is I am thinking about Maslow’s hierarchy and the DIKW hierarchy. I have been struggling to substantiate a hexad as opposed to a tetrad for the number of layers of input and output and I think this provides another cornerstone for my argument. Interoception, the perception of stimuli inside the body, and exteroception, the perception of stimuli outside the body, fill the gap beneath data and divide Maslow’s physiological needs. I am proposing the following hexad:

  1. Green Hat: Wisdom. Self-Actualization. Conceptualization.
  2. Yellow Hat: Knowledge. Esteem. Contextualization.
  3. White Hat: Information. Belonging. Logicalization.
  4. Black Hat: Data. Safety. Physicalization.
  5. Red Hat: Intuition. Physiological. Humanization. Interoception.
  6. Blue Hat: Communication. Existential. Detection and Effection. Exteroception.

In my future discussions I am not going to talk about the movement of data or information or knowledge or stimuli. I am simply going to refer to input and output. Input ascends the hierarchy and output descends the hierarchy. From which level it originates is also irrelevant if it is ascending it is always input, if it is descending it is always output. The transformations are discrete. They are not increases or decreases in detail, but changes in perspective.

If you are following this lengthy thread you may notice my terms changing a bit each time. It is an iterative refinement of my understanding that is leading to these changes. Hopefully, I get closer to a final version with each change.