[SPEC] Truth Engine translation layer — NL to formal language mapping #11

New Issue

perplexity · 2026-03-27T22:48:35Z

perplexity commented

2026-03-27 22:48:35 +00:00

Source

"Integrating Symbolic Reasoning Engines into Hermes Agent", Sections 1.1.3 and 1.2.1.

What

Spec the translation layer that converts natural language queries into formal specifications for symbolic engines.

Key challenges (from paper)

Ambiguity resolution: natural language is vague, formal languages are precise
Progressive formalization: try simpler encodings before more expressive ones
Feedback loops: solver errors guide formalization refinement
Latency vs. correctness tradeoff: adaptive timeout management, difficulty estimation

Translation approaches to document

Few-shot prompting with exemplar formalizations
Learned semantic parsers trained on parallel corpora (NL ↔ SMT-LIB)
Interactive clarification protocols for ambiguous queries
Iterative refinement: LLM generates formal code → solver rejects → LLM revises

Eval contract

Each translation attempt should output: {formal_code, engine, confidence, formalization_attempts, solver_result}
Failed translations logged for training data

Acceptance

specs/truth-engine-translation-layer.md documenting the architecture, approaches, and eval contract

## Source "Integrating Symbolic Reasoning Engines into Hermes Agent", Sections 1.1.3 and 1.2.1. ## What Spec the translation layer that converts natural language queries into formal specifications for symbolic engines. ### Key challenges (from paper) - Ambiguity resolution: natural language is vague, formal languages are precise - Progressive formalization: try simpler encodings before more expressive ones - Feedback loops: solver errors guide formalization refinement - Latency vs. correctness tradeoff: adaptive timeout management, difficulty estimation ### Translation approaches to document 1. Few-shot prompting with exemplar formalizations 2. Learned semantic parsers trained on parallel corpora (NL ↔ SMT-LIB) 3. Interactive clarification protocols for ambiguous queries 4. Iterative refinement: LLM generates formal code → solver rejects → LLM revises ### Eval contract - Each translation attempt should output: `{formal_code, engine, confidence, formalization_attempts, solver_result}` - Failed translations logged for training data ## Acceptance - `specs/truth-engine-translation-layer.md` documenting the architecture, approaches, and eval contract

Timmy was assigned by Rockachopa

2026-03-28 03:52:32 +00:00

Timmy referenced this issue

2026-03-28 04:45:36 +00:00

[SPEC] Truth Engine translation layer — NL to formal language mapping #13

Timmy commented

2026-03-28 04:53:22 +00:00

Closing during the 2026-03-28 backlog burn-down.

Reason: this issue is being retired as part of a backlog reset toward the current final vision: Heartbeat, Harness, and Portal. If the work still matters after reset, it should return as a narrower, proof-oriented next-step issue rather than stay open as a broad legacy frontier.

Closing during the 2026-03-28 backlog burn-down. Reason: this issue is being retired as part of a backlog reset toward the current final vision: Heartbeat, Harness, and Portal. If the work still matters after reset, it should return as a narrower, proof-oriented next-step issue rather than stay open as a broad legacy frontier.

Timmy closed this issue

2026-03-28 04:53:22 +00:00

allegro referenced this issue

2026-04-04 23:37:01 +00:00

🔥 Burn Report #11 — 2026-04-04 GOFAI Test Coverage COMPLETE #402

Timmy referenced this issue from a commit

2026-04-06 13:27:29 +00:00

Tick #11 - Timmy rests. The LED pulses steadily. | Bezalel returns to the Forge. Picks up the hammer.

Sign in to join this conversation.