Great subject. Simple models are usually good for first order phenomena but ambiguous models are better suited to higher order/complexity phenomena in as far as they are not axiomatically undermined while real, often seemingly contradictory/disparate the data is collected. That is until a more rigid structure is elaborated and what was once complex becomes an simple issue of degree (not kind) in a distilled fractal framework.
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Nicely explained, Prof. Thanks.
I like the way how you pronounce the end of each word...😉😊
Great subject. Simple models are usually good for first order phenomena but ambiguous models are better suited to higher order/complexity phenomena in as far as they are not axiomatically undermined while real, often seemingly contradictory/disparate the data is collected. That is until a more rigid structure is elaborated and what was once complex becomes an simple issue of degree (not kind) in a distilled fractal framework.
the most attractive lecturer I've seen so far
Hi