MJos Predictive Model | First manifestation of the Bangel Language
New project sequence · proposed bindings
Associative recall, relational discrimination and bounded source-grounded diagram overlays.
MJ Neural Net / Brown MJos Predictive Model | First manifestation of the Bangel Language MJ Physics Engineering | Owned and operated by Michael Bangel | Clearwater, Florida OBSERVATIONAL LIFECYCLE Purpose: Associative recall, relational discrimination and bounded source-grounded diagram overlays. R / R0 Retain the proposed request and anticipated context; a forecast has not occurred. R1 Record the unresolved or partially supported representation under its named source profile. Older unidentified-transition wording and later interpretation-state wording must not be merged silently. N1 AND REPRESENTATION Cue features, memory timing and known relational context pass the closed input contract. - Feature: Missing(reason) | Known(Real) - Nodes: n1…n9 - Memory: identity + pattern + relation + context - Review: request hash + status - r0: PROVISIONAL REVIEW TO OUTPUT Run bounded association; preserve missing features; compare entity/relation/context; bind independent review. Return a provisional advisory candidate or HOLD; retain downstream DENY and no actuation permission. RECOVERY Return to the first named missing prerequisite. A changed input or new evidence permits another bounded pass. Repeated state or no progress stops recovery with the existing evidence intact. r9 remains the N5-N7 interpretation region where that separate profile applies. EVIDENCE LIMITS - Engineered computational model, not hippocampal biology or general natural-language prediction. - Lowercase r0 remains provisional and distinct from uppercase R0. - Synthetic comparison shows a recall/coverage tradeoff; not field accuracy or equal-coverage benefit. - Diagram geometry and command mapping must retain separate namespaces.