The most accurate explanation for everything and anything complex is never a simple word, a single answer or even a series of connected dots. From the way the universe works to the way human beings carry forth or the way environmental and living forces exchange and unfold, the explanations consist of a spectrum of systemic levels and constructs and viewpoints.
The media circus we call news is filled with questions and answers that seldom penetrate beyond the superficial layers of understanding.
Why did that tragedy occur?
What made that person do what they did?
What is wrong with our criminal justice system?
How healthy are we?
How healthy is our economy?
Do we have enough money to retire comfortably?
Should I have a mammogram every year?
Should I have a PSA prostate cancer screening test every year?
The frameworks for answering any question should already exist. Starting from scratch, grabbing at a few variables, avoiding the different dimensions of any question make the pursuit of any answer an exercise in inaccuracy and futility. Systems 101 suggests we need a family of models and scaffoldings that collectively provide a comprehensive wide ranging visual checklist of all that needs to be considered, including the context and source proofs of the variables at every level of consideration. Every question posed above, and every complex question you can imagine, can and should have a framework of semiotic reference models that anyone can apply (Visual Y).
With complex systems, at the highest level there are only a small number of variables that frame our known understandings.
A…Four major systemic frameworks
1) The foundational systems of matter and energy – from nano to macro
2) The foundational systems of life – from nano to macro
3) Man Made dynamic machines, processors, objects, abstracts and processes
4) The foundational languages, senses, exchanges and mental constructs of human beings
B...A systemic scaffolding for objectives and viewpoints
C…The most comprehensive understanding of complexity and systems does not come from the millions of words written by hundreds of individuals and certainly does not come from a web search or wikipedia.
The only answer we can derive as to how humans can best process and harness complexity is through the use of dynamic semiotics as a higher layer of accumulative, intuitive, universal, resonant language. Dynamic systemic semiotics brings to life a nano to macro spectrum of interaction consisting of matter:energy components, programming, states, spatial position, exchanges, changes across time and stimuli, behaviors , inputs/reactions/actions/outputs, chance and function, understood by human beings through the systemic context lenses of senses, measures, objectives/value/meaning, conscious and subconscious processing, hypothesis, Proof Processes and SLANT.
To understand a system, we need to be able to represent each of these variables within robust, scalable, dynamic, interactive and autopoietic ontologically organized multilayered modelsets filled with generative multi-perspective patterns signifying accumulative meaning.
Wayfinder. It’s not easy being Systems. If we’re not thinking in Systems, we’re not living up to our potential. Taking the quantum leap into a new paradigm that revolves around Systems is awkward and effortful. The adoption of Systemic knowledge demands that we stop thinking in 2 dimensions, in linear vectors, in SLANT, in tired old words, and in bits and bytes of understanding and instead construct a rich dynamic visual language composed of living ontological cells filled with patterns that translate complexity into meaning and that act not only as a truth oriented, nurturing language but as the scaffolding for all forms of human exchange across the universe of computer aided life.