journal
Journaling submodule of the epistemic-pruning-engine repository.
note 1
alternate considered names
symbiotic-pruning-engine
pruning-engine
epistemic-pruning-engine
symbiotic-pruner
epistemic-pruner
coevolutionary-pruning-engine
biosemiotic-pruning-engine
biosemiotic-pruner
biosemiotic-occams-razor
biosemiotic-coevolutionary-pruning
coevolutionary-pruning-engine
evolutionary-pruning-engine
→ March, 25. 2026.
note 2
In traditional Machine Learning, "pruning" usually refers to the mathematical removal of redundant weights or neurons to compress a model.
On why the naming, using "epistemic" places the focus firmly on what is being pruned: knowledge structures, beliefs, and meaning-making patterns.
And, since this is not a standard weight pruning but the active pruning of contradictory knowledge states, it feels fiting.
While I can also eventually share the scripts and pipeline to apply this logic also to language models and use the functions, the focus here is to complement the biosemiotic-refractor as this conceptual framework.
→ March, 25. 2026.
I first discovered the term 'synaptic-pruning' about a year ago, when I found the seminal 'The Man Who Mistook His Wife for a Hat', a 1985 book by neurologist Oliver Sacks, where he describes a music teacher with visual agnosia who literally could not recognize faces or objects, once reaching for his wife's head thinking it was his hat.
He focused on neurological deficits, brain activity, the heightened energy of late-stage neurosyphilis, the "dreamlike" states, such as intense musical hallucinations or reminiscences triggered by temporal-lobe seizures and also Analyzes the lives of individuals with intellectual disabilities or autism who possess extraordinary "savant" talents in art or mathematics.
→ March, 25. 2026.
Ronni Ross
2026