Corollary 2, (13) — the optimal accuracy in closed form
ProvedHumanMachine.Accuracy.corollary_2_accuracyclosed-formp2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-paperp2o-v1rational-inattention
Let be the information cost and the DM's prior belief that the state is good, and let and . The DM's optimal accuracy is
When the prior is extreme the DM processes no information and follows it; in between, her accuracy depends on the information cost only. This is the first display of Corollary 2; the cost display (14) is not part of this statement.
Formalization Note The paper says "Given prior "; the statement is made for every , endpoints included (Lemma 2 evaluates at ). is the accuracy at an optimum of the §4 problem, not the right-hand side above.
Preamble
import Mathlib import Definitions.Def_HumanMachine_Accuracy_DecisionModel
Formal statement
namespace HumanMachine.Accuracy
/-- Corollary 2, display (13) (p. 13): for information cost `λ > 0` and prior `μ ∈ [0, 1]`,
the optimal accuracy is `A⋆(μ) = 1 - μ` if `μ ≤ μ̲`, `e^{1/λ} / (e^{1/λ} + 1)` if
`μ̲ < μ < μ̄`, and `μ` if `μ ≥ μ̄`. -/
theorem corollary_2_accuracy (lam μ : ℝ) (hlam : 0 < lam) (hμ : μ ∈ Set.Icc (0 : ℝ) 1) :
(μ ≤ HumanMachine.Alone.muLow lam → AStar lam μ = 1 - μ) ∧
(HumanMachine.Alone.muLow lam < μ → μ < HumanMachine.Alone.muHigh lam →
AStar lam μ = Real.exp (1 / lam) / (Real.exp (1 / lam) + 1)) ∧
(HumanMachine.Alone.muHigh lam ≤ μ → AStar lam μ = μ) := by sorry
end HumanMachine.Accuracy
Source
Boyacı, Canyakmaz & de Véricourt, Human and Machine: The Impact of Machine Input on Decision-Making Under Cognitive Limitations, ESMT Working Paper 20-02 (Nov. 30, 2020), p. 13, Corollary 2, display (13)
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.