With any formal system it is easy to spend a long time roughing out primitives and reviewing first principles before getting on to practical applications, and logical graphs are no different in that respect.  But the promise of clearer and more efficient methods for solving realistic problems is what led me to the visual calculi of C.S. Peirce and Spencer Brown in the first place, so my aim throughout our rehearsal of rudiments is to make a bridge to applications a few steps nearer what the real world throws our way.

I’ve been thinking how to make the transition from basic ingredients of logical graphs and laws of form to slightly more interesting examples — still “toy worlds” as AI folk call them but suggestive to some degree of what might be possible in the long run.  I’ll spend a few days gathering assorted examples I’ve worked up previously and try presenting those.

cc: Cybernetics • Laws of Form • Ontolog • Peirce List • Structural Modeling • Systems Science