a83b35de07
CORE now decides natural-English deductive arguments end-to-end: 'If it rains then the ground is wet. It rains. Therefore the ground is wet.' -> ENTAILED, rendered over the user's own clauses. Both of ADR-0256's documented boundary cases (multiword conditional, nested- negation contraposition) are now decided; their lane gold updated declined->entailed. - generate/proof_chain/english.py (new): closed function-word grammar over OPAQUE clause-atoms (minted ids); if/then, [either] or, and, three negation forms (leading not / sentential / copular incl. contractions); typed refusals; honesty caps. Soundness: positive verdicts are substitution-closed; UNKNOWN is scoped + guarded (quantifier-led, is-a membership, unnormalizable negation refuse out of the opaque band). - render_entailment_english: verdicts quoted back verbatim; UNKNOWN phrasing explicitly scoped to the opaque reading. - chat/deduction_surface.py: v2-EN fallback tier AFTER v1/v1b — monotone widening, byte-identical on previously-served arguments. - Four en_* shape-bands EARN SERVE via the ADR-0199 arena (720/band, wrong=0, reliability 0.99087 >= 0.99); 9-band ledger re-sealed. - evals/deduction_serve/v2_en: 26 hand-authored real-English cases (content disjoint from the synthetic lexicon), wrong=0; report re-pinned. - realizer guard (ADR-0075): deduction surfaces exempt — quoted templates are not slot-composed articulations (pack 'open'=VERB was rejecting an honest quoted 'the door is not open'); pinned cold+warm in e2e. [Verification]: deductive 84 passed; smoke 180 passed; cognition 122 passed 1 skipped; arena 9x720 wrong=0 all SERVE; lanes v1 28/28, v2_en 26/26.
105 lines
3.9 KiB
Python
105 lines
3.9 KiB
Python
"""Deterministic shape-band classification for propositional arguments
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(deduction-serve arc, Phase 3).
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The **capability axis** the reliability ledger (ADR-0175) keys on for
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deduction serving. A shape-band is a purely structural signature of the
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projected ``(premises, query)`` formula strings — cheap, deterministic, and
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computed identically by the practice arena (which earns the per-class SERVE
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license) and the serving composer (which consults it). No decision logic:
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this says *what kind of argument* a case is, never whether it is entailed.
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The bands are deliberately coarse — each holds a MIX of entailed/refuted/
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unknown cases — so a class's measured reliability answers "does the whole
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serving pipeline (reader → projector → engine) decide arguments of this
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shape correctly?", which is the fallible part (the reader can misparse; the
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ROBDD engine cannot). A band that only ever saw entailed cases would measure
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nothing the engine's soundness doesn't already guarantee.
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"""
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from __future__ import annotations
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_IMPLIES = " implies "
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_OR = " or "
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#: The closed set of shape-bands. Serving classifies into exactly one of these;
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#: the practice arena earns a per-band SERVE license over the same set.
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DISJUNCTIVE = "disjunctive"
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CONDITIONAL_CHAIN = "conditional_chain"
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CONDITIONAL_SINGLE = "conditional_single"
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ATOMIC = "atomic"
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#: Band v1b (Phase 4) — categorical/syllogism arguments. Distinct from the four
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#: propositional bands: a categorical argument is projected by ``to_syllogism``
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#: (not ``to_deductive_logic``) and decided by ``generate.proof_chain.categorical``
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#: (the propositional-lowering decider), so the serving composer assigns this band
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#: directly rather than by ``classify_deduction_shape`` (which reads propositional
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#: formula strings).
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CATEGORICAL = "categorical"
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SHAPE_BANDS: tuple[str, ...] = (
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DISJUNCTIVE,
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CONDITIONAL_CHAIN,
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CONDITIONAL_SINGLE,
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ATOMIC,
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CATEGORICAL,
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)
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#: Band v2-EN (ADR-0257) — English-clause propositional arguments, read by
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#: ``generate.proof_chain.english`` (opaque clause-atoms). Namespaced ``en_``
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#: because a band's earned license certifies READER fidelity per shape
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#: (ADR-0256): the English reader is a different reader, so it must earn its
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#: own per-shape record even though the engine underneath is identical.
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EN_DISJUNCTIVE = "en_disjunctive"
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EN_CONDITIONAL_CHAIN = "en_conditional_chain"
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EN_CONDITIONAL_SINGLE = "en_conditional_single"
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EN_ATOMIC = "en_atomic"
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EN_SHAPE_BANDS: tuple[str, ...] = (
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EN_DISJUNCTIVE,
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EN_CONDITIONAL_CHAIN,
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EN_CONDITIONAL_SINGLE,
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EN_ATOMIC,
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)
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#: Every serving shape-band — the ratified ledger's full key set.
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ALL_SHAPE_BANDS: tuple[str, ...] = SHAPE_BANDS + EN_SHAPE_BANDS
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def classify_deduction_shape(premises: tuple[str, ...], query: str) -> str:
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"""The structural shape-band of a projected propositional argument.
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Priority order (first match wins), by the connectives present in the
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PREMISES only (the query's shape is a downstream concern of the engine,
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not of the capability axis):
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- ``disjunctive`` — any premise is a disjunction (``A or B``).
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- ``conditional_chain`` — two or more conditional premises (``A implies B``).
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- ``conditional_single`` — exactly one conditional premise.
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- ``atomic`` — no conditional, no disjunction (bare atoms /
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negations only).
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"""
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has_or = any(_OR in p for p in premises)
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if has_or:
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return DISJUNCTIVE
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n_implies = sum(1 for p in premises if _IMPLIES in p)
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if n_implies >= 2:
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return CONDITIONAL_CHAIN
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if n_implies == 1:
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return CONDITIONAL_SINGLE
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return ATOMIC
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__all__ = [
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"ALL_SHAPE_BANDS",
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"ATOMIC",
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"CATEGORICAL",
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"CONDITIONAL_CHAIN",
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"CONDITIONAL_SINGLE",
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"DISJUNCTIVE",
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"EN_ATOMIC",
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"EN_CONDITIONAL_CHAIN",
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"EN_CONDITIONAL_SINGLE",
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"EN_DISJUNCTIVE",
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"EN_SHAPE_BANDS",
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"SHAPE_BANDS",
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"classify_deduction_shape",
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]
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