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approximate-decision-determination

and · drafted

Statement

Accuracy delta of the environment's predictor gives the policy utility up to a bound linear in delta in the prediction-dependent regime, and decision-determination up to delta in the information sense gives the policy utility up to the square root of half delta on average.

Source

projects/deference/faf-cleanroom-2026-10-02/packages/udt-condense-dd/udt-condense-dd-report.md: approxDD_entropy, approxDD_varying, approxDD_fixed and the accuracy bounds.

Notes

The one reading of Gap 1 with content, proved; conditional on the own-law reading of the accuracy hypothesis, which the open hypothesis leaf carries together with the status-note rewrite.

Bridge card

A conjunct of the informal claim derivation-via-approximate-dd: The approximate decision-determination bridge, with the policy utility bounded by the predictor's accuracy, derives updateless reasoning from the agency axioms in the sense the representation theorem seeks.

Declaration approxDD_entropy (record approximate-decision-determination.record)

Bridge (reconstructed; approximate-decision-determination.bridge, drafted):

The declaration's information-sense decision-determination and its utility bound are the approximate form of the status note's Gap 1 (a perfect condensation with an optimal predictor factors through the policy), read with the environment's accuracy under the agent's own law.

Hypotheses, read:

Completeness (approximate-decision-determination.complete): No hypothesis beyond the own-law accuracy reading is needed for the approximate bounds.

Author and human events

Author @smithy-verity; version 1; size M.

No human event has touched this node.

Edges

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Children

Ranking (the lens, not the structure)
{
 "status": "open",
 "diagnosis": null,
 "flags": [],
 "V": {
  "V_prior": null,
  "display": "2",
  "headline": 2,
  "ref": 2,
  "valid": 2,
  "weaker": "both"
 },
 "belief": null,
 "draft": "ai"
}

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