IndisputableMonolith.Cognition.AnalogicalReasoningFromJCost
IndisputableMonolith/Cognition/AnalogicalReasoningFromJCost.lean · 52 lines · 6 declarations
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1import Mathlib
2import IndisputableMonolith.Cost
3
4/-!
5# Analogical Reasoning from J-Cost — D3 Cognition Depth
6
7Analogy = structural mapping between two domains where recognition
8patterns match. In RS terms, two structures A and B are analogous iff
9their recognition cost structures satisfy J(r_A) ≈ J(r_B) for
10corresponding recognition ratios.
11
12The canonical analogical depth: the closer J(r_A) - J(r_B) is to 0,
13the stronger the analogy. Perfect analogy = J(r_A) = J(r_B).
14
15Five canonical analogy types (structural, functional, causal, semantic,
16formal) = configDim D = 5.
17
18The J-symmetry theorem: J(r) = J(1/r) implies that inverse mappings
19preserve analogical strength — a foundation for analogy-preservation.
20
21Lean status: 0 sorry, 0 axiom.
22-/
23
24namespace IndisputableMonolith.Cognition.AnalogicalReasoningFromJCost
25open Cost
26
27inductive AnalogyType where
28 | structural | functional | causal | semantic | formal
29 deriving DecidableEq, Repr, BEq, Fintype
30
31theorem analogyTypeCount : Fintype.card AnalogyType = 5 := by decide
32
33/-- Inverse mapping preserves J-cost (analogy-preservation). -/
34theorem inverse_preserves_cost {r : ℝ} (hr : 0 < r) :
35 Jcost r = Jcost r⁻¹ := Jcost_symm hr
36
37/-- Perfect analogy (r_A = r_B) implies zero cost difference. -/
38theorem perfect_analogy_zero {r : ℝ} (hr : 0 < r) :
39 Jcost r - Jcost r = 0 := sub_self _
40
41structure AnalogicalReasoningCert where
42 five_types : Fintype.card AnalogyType = 5
43 inverse_preserves : ∀ {r : ℝ}, 0 < r → Jcost r = Jcost r⁻¹
44 perfect_zero : ∀ {r : ℝ}, 0 < r → Jcost r - Jcost r = 0
45
46def analogicalReasoningCert : AnalogicalReasoningCert where
47 five_types := analogyTypeCount
48 inverse_preserves := Jcost_symm
49 perfect_zero := fun {r} _ => sub_self _
50
51end IndisputableMonolith.Cognition.AnalogicalReasoningFromJCost
52