Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2026
|
| Online Access: | https://doi.org/10.5281/zenodo.20075074 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866902275915513856 |
|---|---|
| author | Andrews, Ronald Jason |
| author_facet | Andrews, Ronald Jason |
| contents | <p>Lume is a deterministic natural-language programming language that accepts natural English as valid source code. The compiler uses a 7-layer intent resolution pipeline in which Layers 1 through 6 are entirely deterministic; AI is used only as an optional final fallback. Version 1.1.0 introduces the Full-Stack Expansion Block: a 31-rule Deterministic Inference Rulebook (LDIR), Ed25519-signed Lume Trust Certificates (LTC), a Synthetic Organism Runtime (SOR) with a 7-state cell lifecycle and deterministic signal bus, and the Lume Multi-Agent Deterministic Protocol (LMADP). The compiler introduces a novel three-layer security model with live AST-level scanning that produces tamper-evident certificates embedded in the compiled output — a paradigm called "certified at birth." [...] v6 expands the Related Work section with critical academic references including Green and Petre's Cognitive Dimensions of Notations (1996), Erlang/OTP supervision trees (Armstrong, 2003), program synthesis (Gulwani's FlashFill, Solar-Lezama's Sketch), Knuth's Literate Programming, Simonyi's Intentional Programming, and the EU AI Act (2024). Patent pending — DarkWave Studios LLC. 38 ecosystem apps, 2,358 tests across 63 test files with 0 failures, 93 source modules, 179 patterns, 10 human languages, 5 compilation targets. **v6 — Updated April 16, 2026.**</p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20075074 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | LUME: Eliminating Cognitive Distance - A Deterministic Natural-Language Programming Language with Intent-Resolving Compilation, Voice Input, Certified Security, and Synthetic Organism Runtime Andrews, Ronald Jason <p>Lume is a deterministic natural-language programming language that accepts natural English as valid source code. The compiler uses a 7-layer intent resolution pipeline in which Layers 1 through 6 are entirely deterministic; AI is used only as an optional final fallback. Version 1.1.0 introduces the Full-Stack Expansion Block: a 31-rule Deterministic Inference Rulebook (LDIR), Ed25519-signed Lume Trust Certificates (LTC), a Synthetic Organism Runtime (SOR) with a 7-state cell lifecycle and deterministic signal bus, and the Lume Multi-Agent Deterministic Protocol (LMADP). The compiler introduces a novel three-layer security model with live AST-level scanning that produces tamper-evident certificates embedded in the compiled output — a paradigm called "certified at birth." [...] v6 expands the Related Work section with critical academic references including Green and Petre's Cognitive Dimensions of Notations (1996), Erlang/OTP supervision trees (Armstrong, 2003), program synthesis (Gulwani's FlashFill, Solar-Lezama's Sketch), Knuth's Literate Programming, Simonyi's Intentional Programming, and the EU AI Act (2024). Patent pending — DarkWave Studios LLC. 38 ecosystem apps, 2,358 tests across 63 test files with 0 failures, 93 source modules, 179 patterns, 10 human languages, 5 compilation targets. **v6 — Updated April 16, 2026.**</p> <p> </p> |
| title | LUME: Eliminating Cognitive Distance - A Deterministic Natural-Language Programming Language with Intent-Resolving Compilation, Voice Input, Certified Security, and Synthetic Organism Runtime |
| url | https://doi.org/10.5281/zenodo.20075074 |