Mnemonic RSTs (MRSTs) work on information processing alone, by reduction and comparisons, no calculations allowed, except for statistical data processing and related manipulations. They might do this digitally or by analogue mechanisms, e.g., they might use brains or similar biological systems. They lack concepts like causation, causal process, natural law, functional relationship…Chiefly they remember and compare very large and intricate data sets. They use time lines in effect, but have no concept of time or temporal process.
They work like this : Given a problem: “Determine what happens next….” for a particular system they predict the next element(s) in the data set by referencing only the previous elements, and data sets like the current one but acquired on different occasions. The old data sets could have been generated by the same system (defined, say in terms of system components) or by other “similar” systems. They use old data to produce the new data set, using a variety of mathematical techniques to relate system states only along parametric flow lines, old data produces new data, no theories of “Why” or “How” involved. No “Scientific” laws or theories involved. (This is beginning to sound a lot like a chartist approach to trading stocks- “technical analysis”, but they assume causation even though they don’t know or care what it is.)
The contrast between MRSTs and RSTs is really the difference between high and low information levels. Today’ computational analysis uses low information itinerative analysis (e.g., Multiphysics software) and physical laws, it’s RST type of analysis.
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