Pragmatic Traction • 2

Re: FB | Ecology of Systems ThinkingRichard Saunders

I’m about to be diverted for a couple of weeks but this is an ever-ongoing question so I know I’ll be coming back to it again.  The short shrift goes a bit like this —

The gist of the idea that Peirce dubbed the pragmatic maxim is really a mathematical principle that has always been hard to render in ordinary language, largely due to the Procrustean subject-predicate embeddings most of the languages we know and love impose on its core structure.  The primal form is more like one of those bi‑stable gestalts — duck‑rabbit, Necker cube, old‑young woman, etc.  One way to get a mental handle on the matter is to mull over the many variations on its underlying theme, such as the ones I quoted and discussed in my blog post —

This entry was posted in Abduction, C.S. Peirce, Control, Cybernetics, Deborah G. Mayo, Deduction, Error, Error-Controlled Regulation, Feedback, Fixation of Belief, Hypothesis, Induction, Inference, Information, Information Theory, Inquiry, Inquiry Driven Systems, Knowledge, Knowledge Representation, Learning, Learning Theory, Likelihood, Logic, Logic of Science, Peirce, Philosophy, Philosophy of Science, Pragmatic Information, Pragmatic Maxim, Pragmatism, Probability, Probable Reasoning, Scientific Inquiry, Scientific Method, Semiotics, Statistical Inference, Statistics, Uncertainty and tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , . Bookmark the permalink.

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