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A6: X defaults to ~7 most committed convictions, adaptive (signal C1).
A1: L4 literal confirmed -> [====L⍉¢K€D ϟ ∅ΩΤ====] 《E≠<minimumfortool>》
(predicate = energy below tool's own minimum); priors bundle with the
sensate block (step 2); step 3 X≈7 reference.
A2: mirror lock token + add tool_min(tool) per-tool minimum (open item).
A8: record ETR-as-prompt-injection (A1-L5) in §4 does/does-not + open
item for the injection-rendering; ETR persuades, never gates.
https://claude.ai/code/session_015hmgREHNsxYCuim33yUF2c
56 lines
3.2 KiB
Markdown
56 lines
3.2 KiB
Markdown
# A6 — Eth-Int (Ethical Integrity) driver
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## 1. Component
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Driver 3: character as an **economic constraint field** — a cost-map, not a moral oracle. Produces
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the E-cost of responding to reality: alignment discounts, antithetical penalties, conviction hardening.
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## 2. Status / certainty
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Structure WORKING (`driver_ethical_integrity.R`, 87 L); numbers DISOWNED (body §5). Per arch §6 it is
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**not a stored stratum — a memory-derivative** (entries with memory-weighted shifting numerics).
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## 3. Language & location
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R · `src/endocrine/driver_ethical_integrity.R` (+ `test_ethical_integrity.R`). Its state = the
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**Conviction array** (A7).
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## 4. Does / does-not
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- **Does:** evaluate a trajectory's E-cost (alignment discount × antithesis penalty × compromise);
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harden convictions upheld under load; treat middle-ground as its own trajectory; **surface the top X
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convictions** (the **~7 most committed**, **X adaptive** — Anja) into the agent's slot — *not* the whole
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array (**the conviction list can be massive**, so it must be ranked & truncated; A1 step 3 / input-slot).
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- **Does-not:** assert moral truth, or persist itself as a stratum (it derives from memory; see A7/E2).
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## 5. Interface contract
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- `evaluate_trajectory_costs(convictions, action_tags, alignment_tags, base_energy, compromise_factor)
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-> total_cost` (penalty exponential in conviction; discount exponential; compromise = partial penalty).
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- `enforce_conviction(convictions, chosen_alignment_tags, load_factor) -> convictions'`
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(hardening ∝ load, diminishing toward 1.0).
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- `top_convictions(convictions, x) -> [..]` — the **top X by strength**, the only ones surfaced to the
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slot (Anja). X is C1 (see §10).
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- Reads/writes the **conviction array** (A7). Emits `eth_penalty` consumed by Energy (A2).
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## 6. Dependencies & stubs
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A7 conviction array — *stub:* a flat list `{id, conviction, antithesis}` (today's shape). Energy (A2)
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consumes its penalty — *stub:* return the scalar. Testable today against the flat array.
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## 7. Invariants / laws (numbers C1 until tested)
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- **L1 (C4):** antithetical action → cost rises **exponentially** in conviction; multiple violations **add**
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(can exceed E capacity → physically impossible).
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- **L2 (C4):** alignment → exponential **discount** ("flow state").
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- **L3 (C4):** **middle-ground** is a separate trajectory with **partial** penalties to both poles,
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weighed against the polar options.
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- **L4 (C4):** conviction **hardens under load**; G1 stress raises the **shift-rate** (A7).
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- **L5 (C1):** all k's (penalty/discount/compromise) — refit invariants-first.
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## 8. Build steps
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1. Lock L1–L4 as tests (extend `test_ethical_integrity.R`). 2. Refit the k's — drop old k_penalty=5 /
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k_discount=5. 3. Migrate state to the A7 conviction array (isomorphy tags + shift-rates). 4. Wire G1.
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## 9. Tests
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`Rscript src/endocrine/test_ethical_integrity.R`.
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## 10. Open items
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- The k constants (C1). The middle-ground compromise scaling (C1).
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- **X — how many convictions surface** to the slot (default **~7 most committed**, **adaptive** — the
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adaptation signal is C1; ranked by commitment strength).
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- Exact "memory-derivative" derivation (how convictions are computed from memory) — ties to A7/E2.
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