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 / Blue MJos Predictive Model | First manifestation of the Bangel Language MJ Physics Engineering | Owned and operated by Michael Bangel | Clearwater, Florida PROJECT REFERENCE Associative recall, relational discrimination and bounded source-grounded diagram overlays. OBSERVABLE BEHAVIOR - Source defines nine-node activations, Hebbian recurrent weights, retrieval, relational filter and bounded command placement. - Three nine-node associative layers; five recovered diagram-overlay templates retained under a separate envelope. - Source command-to-node model maps nine Bangel commands and predicts first-order transitions. TYPED CONTRACT - Feature: Missing(reason) | Known(Real) - Nodes: n1…n9 - Memory: identity + pattern + relation + context - Review: request hash + status - r0: PROVISIONAL DECISION RULE Return a provisional advisory candidate or HOLD; retain downstream DENY and no actuation permission. CONSUMER RULE Read the result status before interpreting its value. Preserve the tenant, project, source version and evidence context. Do not treat a missing record, an unexecuted proposal or a successful computation as an authorized external action. 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.