Functional Systems Integration (fSI)
So, What is fSI?
Well, I made it up; and even I’m not sure exactly what it is. For starters, I strive to cultivate mindful observation, systems thinking, and strategic integration. I suppose Functional Systems Integration is what I’m calling a philosophy that encompasses the complex systems of progressing toward ideal outcomes in any situation, in a practical and efficient manner.
In order to determine an ideal outcome, you must be aware of the best option. In order to progress with the best option, you must be able to implement the proper procedures. Thus, the aim of a Functional Systems Integrator is to develop the knowledge and abilities to determine and execute the best process to proceed toward optimal results.
Functional Systems Integrator
I surmise the following to be the foundational qualities that make for a Functional Systems Integrator:
This quality has to do with having an inquisitive mind that is regularly questioning the state of affairs. This would include a fervent desire to ponder how things came to be and why they came to be the way they are, as well as constant experimentation.
This quality has to do with having a theoretical mind that is able to see the big picture. This is a key factor in the process of developing a systematic plan in route to achieving a precise goal.
This quality has to do with the understanding that a specific outcome hinges on the particular circumstances it was derived from. This is important in recognizing that all experiences are unique, and the same solution for one situation may or may not work for another similar, yet different, situation.
This quality has to do with possessing a wide range of experiences, as well as a gamut of positive and negative outcomes within specific incidents. This is essential for cultivating perspective and awareness, and is a determinant factor of strong creative ideation.
This quality has to do with having a presence of mind that offers behavioral flexibilty in any instance so that the matter may be responded to in the most effective manner. This is a key factor in curtailing impulsivity and biases.
This quality has to do with maintaining an open mind that is responsive to the prospect of change in order to persevere and progress in a favorable manner. This is a key factor in processing complex signals in order to be sensibly proactive and to drive innovation.
The Key Principle
The qualities listed above are all elements of Functional Systems Integration that thrive under an overarching principle that I am calling Spectral Potentiality.
Spectral Potentiality is the notion that in any instance, there is a spectrum of possibilities. As humans, it’s in our nature to construct mental boundaries around observations of phenomena that are actually indefinite. Where this mode of reasoning reduces occurences to a set of options, Spectral Potentiality postulates an unrestricted prospect of explanations.
For example, the analysis of many circumstances tend to get boiled down to a binary conclusion – yes or no, good or bad, black or white. A perspective of Spectral Potentiality requires the mental agility to consider not only the “maybes”, the “indifferents”, and the “grays”, but more importantly the entire continuum between the extremes, even going beyond the limits of our language and current understanding.
I believe Spectral Potentiality is a truly beneficial perspective to incorporate because we oftentimes reduce complex concepts to a predefined answer or a bounded conclusion. While these types of simplifications may be useful for creating a jumping-off point or even drilling down to first principles, they are unlikely to be effective for optimizing outside of a microsystem when they impose assumptions that do not acknowledge the intricacies and emergent properties of the whole system.
This is no more than a working theory/model of mine at this time. It may even be more accurate to say that it’s just me trying to arrange all of the random information about human performance that is floating around in my head.
I’m not married to its current form, so if the schema can be improved upon in any way, I’m open to it. If some of the points seem familiar, there are definitely roots in a range of disciplines and concepts like:
- Bayesian Probability
- Behavioral Economics
- Complexity Science
- Contrasting Cases
- Kolmogorov Complexity
- Learning Transfer
- Network Neuroscience
- Positive Psychology
- Quantum Physics
- Socratic Questioning
- Theory of Mind
You cannot truly know something without understanding its opposite.
~ CK Chung
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