I'm also a global learner. I was told so as a child, I believed them, and it's been a self-fulfilling prophecy ever since...
What
exactly is global learning though?
I would say it is when one's classification or understanding of a particular phenomenon is informed by its relationship to the whole/greater system in which it is situated/functions/interacts/evolved. Knowing the outcomes or function or purpose of a system can make it easy to anticipate the outcomes, functions, or purposes of its various parts. (i.e: if you're trying to fix a broken machine, it's very helpful to know beforehand what that machine actually does). This is a kind of teleological approach to classification and anticipation, and it seems to make the most sense when applied to complex systems with clearly discernible evolved or designed
purposes. Here we derive general rules to anticipate
parts from what we know about the
whole. The limitation of this approach is that we're more or less stuck
generalizing about sub-components (which could be observed, described and understood with greater precision) from our initial assumptions about the whole.
As opposed to the above "top-down" approach to learning and discovery, there is also the "bottom-up" approach which I would also consider "global" in some sense. This is where we look at the basic and fundamental parts of a system, and how they interact, in order to predict and anticipate the behavior of the whole. When we're actually able to get down to the basic components of a system and are able to describe them with adequate precision, we can deterministically calculate (or simulate) the whole. The limits of this approach exist in the fact that often times we can only examine and measure basic components (and their dynamic interactions) with a certain degree of precision, and in many cases the sheer number of basic parts and dynamic interactions between them makes
simulation (for anticipation) a computational impossibility.
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Employing a healthy mix of both of these approaches is what I have found to be most intellectually rewarding. Getting from
part to
whole can be confusing and complicated, but the more examples you see of how dynamic parts can combine and interact to produce a greater whole, the easier it gets to explore in both directions (there are boundless similarities between complex phenomenon).
Choosing the most relevant or accessible plane or scale of observation, and going from there, seems to be the best bet.
I think this might also play into perception itself:
A particle physicist or astrophysicist looks at a star and sees a collection of atomic and subatomic particles fusing together which releases light (of a given wavelength), heat, and produces heavier atomic particles, all held together in a big ball under the weight of their own cumulative gravity. First they see the parts, and understand how they combine to form a whole in a self-sustaining chain reaction.
An astronomer looks at a star and sees a unit of gravitational mass, a part, which is situated in a local system of its own, which is itself situated in a larger gravitational structure (galaxies), galaxies are situated in clusters, galaxy clusters are situated in galaxy super-clusters, super-clusters are situated in a filament like arrangement, and beyond that the observable universe ends. First they see
the whole, but it is merely a part within the greater wholes they're more concerned with.
Everything can be reduced down to lower level parts, the possible limit being the quantum scale, and everything can be viewed as a part of a greater system, the possible limit being the observable universe. In the grand scheme of things we're forced to work with the observations we're able to actually make:
An alchemist looks at the sun and sees a mysterious whole, unable to observe or perceive the fundamental components which combine to cause the overall phenomenon. Like their limitations in chemistry, they simply have no access to begin observing or isolating the basic parts of the system and hence cannot reconstruct or anticipate the whole from a description of fundamental parts. Being likewise unable to chart and observe the bigger picture of the sun's location relative to nearby stars, alchemists were unable to perceive of the existence of galaxies (a galaxy was just another star in the eyes of an ancient astronomer, and the milky was was an awesome
rift in the night sky), let alone model and anticipate their behavior. They had to start at the observational limits available to them and try to push the envelope forward.
So really we should be starting at both the top and the bottom - and in the middle - because observations and understanding at any level can inform and corroborate discovery at different scales within a system.
Take the weather for example: long term observation reveals obvious patterns (seasons) and can be used as a reliable but general and imprecise means of anticipating future weather (great for long term, less so short term predictions); in order to make accurate predictions we instead look at the immediate causes of weather changes and actually model its behavior with precision (great for short term predictions, and nearly useless for long-term predictions). By modifying the scope and scale of our observations we could also concoct various medium range weather prediction models (almanacs?), and so on.
I will say that as someone who always looks for the big picture understanding first, it's nice to have a background upward and downward limit (and rudimentary view) of
everything that exists, from quarks up to the filaments of the observable universe. It's an unfortunately big window, and it's filled with incoherent blurry areas, but it's
something everything...