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 / Purple MJos Predictive Model | First manifestation of the Bangel Language MJ Physics Engineering | Owned and operated by Michael Bangel | Clearwater, Florida TYPED LANGUAGE BINDING - Feature: Missing(reason) | Known(Real) - Nodes: n1…n9 - Memory: identity + pattern + relation + context - Review: request hash + status - r0: PROVISIONAL BINDING PROPOSAL 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. COMPILATION BOUNDARY Use a declared Bangel grammar profile. Elsa compiles valid source; independent JP admission checks the representation before Joanna execution. The type descriptions above are proposed contract notation, not parser-verified Bangel syntax. Do not copy historical paper module syntax into a bangel 1.0 file without an explicit adaptation. IMPLEMENTATION OBLIGATION Bind each listed field to actual source input and output, define missingness and units, provide positive and failure examples, and test the generated receipt. MJ authority remains separate from calculation. 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.