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 / Rainbow MJos Predictive Model | First manifestation of the Bangel Language MJ Physics Engineering | Owned and operated by Michael Bangel | Clearwater, Florida CROSS-SYSTEM PATH Human purpose -> MJ scope -> Bangel expression -> Elsa compilation -> JP admission -> Joanna execution evidence -> applicable independent review -> bounded result. PROJECT ADAPTER Associative recall, relational discrimination and bounded source-grounded diagram overlays. - Feature: Missing(reason) | Known(Real) - Nodes: n1…n9 - Memory: identity + pattern + relation + context - Review: request hash + status - r0: PROVISIONAL ADAPTER OBLIGATIONS Cue features, memory timing and known relational context pass the closed input contract. 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. RELATIONSHIP STATUS These links describe a proposed integration unless the cited source explicitly implements it. In particular, grouping BarTide or Moana under the MJos model does not prove an installed Bangel runtime in those products. Preserve type, clock, tenant and evidence provenance across every boundary. 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.