I was asked why Bayesianism is not an epistemology and what is alternative. Answers in http://meaningness.com/probability-and-logic … & http://meaningness.com/metablog/how-to-think … …
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"Keep what works, discard what doesn't" is the rule behind every process that generates knowledge.
The operative (and human-complete) word here is "works." But the "keep/discard" part of the rule is simple and universal.
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I agree this is an important principle, but I think it’s a small part of the puzzle, not a general theory.
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(This is my attempt at a tweet-sized summary of Popper/Deutsch/Bartley.)
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Yeah, I know only Popper of those, but I think his story is simplistic and does not match what scientists actually do.
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modeling evolution as knowledge discovery problem, this is how I view decent w/ modification. 'Works' = 'Fitness'
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