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Acknowledgment
We humbly thank the collective intelligence of humanity for providing the technology and culture we cherish. We do our best to properly reference the authors of the works utilized herein, though we may occasionally fall short. Our formalization acts as a reciprocal validation—confirming the structural integrity of their original insights while securing the foundation upon which we build. In truth, all creative work is derivative; we stand on the shoulders of those who came before, and our contributions are simply the next link in an unbroken chain of human ingenuity.

License: Apoth3osis License Stack v1

Stack Theory (Bennett 2026) — Delegation Bounds Verified in Lean 4

Lean 4 formalization of Bennett's Stack Theory proving hard combinatorial bounds on delegation in multi-layer intelligence architectures, with bridge theorems connecting weakness ordering to Heyting nucleus fixed-point algebras.

What This Proves

This formalization machine-checks three central results from Bennett's "Are Biological Systems More Intelligent Than Artificial Intelligence?" (in press, Phil. Trans. B, arXiv:2405.02325v7):

  1. Law of the Stack (Theorem 5.1): Adaptability at layer i+1 is bounded by 2^|Ext(πᵢ)|. The proof composes a 4-lemma ESM chain: language ≤ pow, ext ⊆ language, utility ≤ language, abstractor ≤ ext.

  2. W-maxing = Free Energy Minimization (Corollary 5.1): Ordering policies by log-viability-width is equivalent to ordering them by counting free energy. We additionally proved that on dyadic continuation counts (powers of 2), the discrete-log ordering is exact — a tightness result not in the original paper.

  3. Cancer-Analogue Splintering (Proposition 6.1): Over-constraining boundary conditions on a collective causes loss of collective policy — the group fragments into splinters. Every locally feasible policy is forced onto a proper subset of the collective's parts.

Bridge Theorems (Bennett ↔ Heyting Nucleus)

Six results connect Bennett's combinatorial framework to Heyting algebra nucleus theory. Two are substantive bridge theorems requiring genuine algebraic reasoning; four are infrastructure lemmas (one-line consequences of definitions) that support the bridge.

Substantive bridge theorems:

Theorem Lean Name Content
Collective ↔ nontrivial meet collective_identity_yields_nontrivial_meet_in_fixed_locus Central result: collective identity in Bennett's sense implies nontrivial meet in the Heyting fixed-point algebra Ω_R. ~15-line proof with genuine algebraic witness construction.
Abstractor through nucleus abstractorThroughNucleus_eq_abstractor_of_fixed Nucleus-mediated abstractor collapses to ordinary abstractor when truth sets are already fixed points.

Infrastructure lemmas (one-line, definitional):

Lemma Lean Name Content
Weakness monotone on Ω_R weakness_monotone_on_fixed_points Cardinality monotonicity given a contravariant encoding (1 line: Finset.card_le_card)
Fixed-policy contravariance fixedPolicyEncoding_contravariant Extension antitonicity through the fixed-locus encoding (1 line: ext_mono application)
Weakness on fixed policies weakness_monotone_on_fixed_policies Combines the above two (1 line: Finset.card_le_card on the contravariant encoding)
Stable policy inf-closure stable_policy_closed_inf Fixed-locus closed under intersection via nucleus meet-preservation (1 line: definitional rewrite)

Why It Matters

For AI architecture: The Law of the Stack imposes combinatorial upper bounds on what multi-layer delegation can achieve. The bound (2^|Ext(πᵢ)|) is exponential in the extension set size — a genuine ceiling, though in practice it may be very loose for concrete architectures. This is not a conjecture — it is a theorem with a machine-checked proof.

For alignment (hypothesis): The cancer-analogue splintering theorem proves that over-constraining abstract agent objectives causes structural fragmentation within the formalism. This is analogous to phenomena observed in RLHF-trained systems (reward hacking, specification gaming), but the formal connection between Bennett's abstract framework and concrete neural architectures is not established by this formalization. Whether real AI systems are instances of Bennett's model is an empirical question, not a proved theorem.

For mathematics: The central bridge theorem demonstrates that Bennett's sociological concept of "collective identity" has a precise algebraic characterization as nontrivial meet in a Heyting fixed-point algebra. This connects the sociology of multi-agent systems to abstract algebra in a way that is now machine-verified.

Formalization Stats

Metric Value
Lean source files 15
Theorems 36
Definitions 38
Lines of Lean 861
sorry count 0
Bridge theorems (substantive) 2
Bridge infrastructure lemmas 4
Core dependencies 2 (Nucleus.lean, HeytingAlgebra.lean)

Build Instructions

Requires Lean 4 v4.24.0 and internet access (pulls Mathlib).

cd lean
lake build

To run sanity checks on all key theorems:

cd lean
lake build HeytingLean.Tests.StackTheory.AllSanity

Module Map

Primitives (StackTheory/Primitives/)

File Contents
Environment.lean Program, Vocabulary, truthSet, truthSet_union, truthSet_empty
Language.lean Statement, language, language_card_le_pow (ESM Lemma 1)
Extension.lean isCompletion, extension, weakness, ext_mono (contravariance), ext_subset_language (ESM Lemma 2)
Task.lean VTask, correctPolicies, utility, utility_le_language (ESM Lemma 3)

Stack (StackTheory/Stack/)

File Contents
Abstractor.lean abstractor, abstractor_card_le_ext (ESM Lemma 4), UninstantiatedTask
MLA.lean Stack structure (multi-layer architecture), isViable
LawOfTheStack.lean law_of_the_stack (Theorem 5.1) — 4-lemma calc chain
FreeEnergy.lean ViabilityTask, freeEnergy, wmaxing_eq_fe_min (Corollary 5.1), log_two_order_exact_on_powers_of_two, delegation_bottleneck_fe

Collective (StackTheory/Collective/)

File Contents
Identity.lean collectivePolicies, hasCollectiveIdentity
BoundaryConditions.lean BoundaryConditions, restrictedCollective, isOverConstrained, feasibleParts, isSplinter
CancerAnalogue.lean overconstraint_implies_splintering (Proposition 6.1), overconstraint_yields_splinter

Bridge (StackTheory/Bridge/) — 2 Novel Theorems + 4 Infrastructure Lemmas

File Contents
NucleusWeakness.lean weakness_monotone_on_fixed_points, FixedPolicies, fixedPolicyEncoding_contravariant, weakness_monotone_on_fixed_policies, StableCollectivePolicy, collective_identity_yields_nontrivial_meet_in_fixed_locus, stable_policy_closed_inf
DelegationNucleus.lean abstractorThroughNucleus, abstractorThroughNucleus_card_le_extension, abstractorThroughNucleus_eq_abstractor_of_fixed

Applications (StackTheory/Applications/)

File Contents
AgentHALO.lean Concrete 2-layer stack (haloStack), halo_viable, halo_agent_bound
WeakBoundaryDesign.lean weak_boundary_exhibits_global_policy, weak_boundary_excludes_splintering, overconstrained_design_fragments_local_policy

Import Graph

Environment ← Language ← Extension ← Task ← Abstractor ← MLA ← LawOfTheStack
                                       ↑                              ↑
                                  FreeEnergy                   Identity ← BoundaryConditions ← CancerAnalogue
                                                                   ↑
Core.HeytingAlgebra ← NucleusWeakness (bridge: Identity + Task)
Core.Nucleus ← DelegationNucleus (bridge: MLA)
AgentHALO (application: LawOfTheStack + CancerAnalogue)
WeakBoundaryDesign (application: CancerAnalogue)

Full Theorem Inventory

Paper Reference Lean Name File
ESM Lemma 1 language_card_le_pow Primitives/Language.lean
ESM Lemma 2 ext_subset_language Primitives/Extension.lean
ESM Lemma 3 utility_le_language Primitives/Task.lean
ESM Lemma 4 abstractor_card_le_ext Stack/Abstractor.lean
Theorem 5.1 (Law of the Stack) law_of_the_stack Stack/LawOfTheStack.lean
Corollary 5.1 (w-maxing = FE min) wmaxing_eq_fe_min Stack/FreeEnergy.lean
Corollary 5.1 (dyadic exactness) wmaxing_eq_fe_min_of_power_of_two Stack/FreeEnergy.lean
Corollary 5.1 (delegation bound) delegation_bottleneck_fe Stack/FreeEnergy.lean
Proposition 6.1 (splintering) overconstraint_implies_splintering Collective/CancerAnalogue.lean
Proposition 6.1 (splinter construction) overconstraint_yields_splinter Collective/CancerAnalogue.lean
Bridge infra: weakness monotonicity weakness_monotone_on_fixed_points Bridge/NucleusWeakness.lean
Bridge infra: fixed-policy encoding fixedPolicyEncoding_contravariant Bridge/NucleusWeakness.lean
Bridge infra: weakness on fixed policies weakness_monotone_on_fixed_policies Bridge/NucleusWeakness.lean
Novel: collective ↔ Ω_R meet collective_identity_yields_nontrivial_meet_in_fixed_locus Bridge/NucleusWeakness.lean
Bridge infra: stable policy inf-closure stable_policy_closed_inf Bridge/NucleusWeakness.lean
Novel: abstractor through nucleus abstractorThroughNucleus_eq_abstractor_of_fixed Bridge/DelegationNucleus.lean
Application: HALO viable halo_viable Applications/AgentHALO.lean
Application: HALO agent bound halo_agent_bound Applications/AgentHALO.lean
Application: weak boundary global weak_boundary_exhibits_global_policy Applications/WeakBoundaryDesign.lean
Application: weak boundary no splinter weak_boundary_excludes_splintering Applications/WeakBoundaryDesign.lean
Application: over-constraint fragments overconstrained_design_fragments_local_policy Applications/WeakBoundaryDesign.lean

How to Extend

Adding a new layer type or task variant:

  1. Define the new task structure extending VTask in a new file under Stack/ or Collective/.
  2. Show it satisfies correctPolicies for the relevant vocabulary.
  3. Instantiate Stack with the new task family (follow AgentHALO.lean pattern).

Adding a new bridge theorem:

  1. Place in Bridge/ and import Core.Nucleus or Core.HeytingAlgebra directly.
  2. Do NOT define parallel nucleus structure — use the existing Core.Nucleus bundle.
  3. If encoding policies into a lattice, prove the encoding is contravariant for extensions (follow fixedPolicyEncoding_contravariant pattern).

Adding a new application:

  1. Place in Applications/ and import the relevant core theorem.
  2. Every theorem must do genuine domain reasoning — no re-exports of core theorems with identical hypotheses.

Source

Bennett, M.T. "Are Biological Systems More Intelligent Than Artificial Intelligence?" In press, Phil. Trans. B (Royal Society), arXiv:2405.02325v7, Feb 2026.

License

Apoth3osis License Stack v1

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Lean 4 formalization of Bennett's Stack Theory proving hard bounds on delegation in multi-layer intelligence architectures, with novel Heyting nucleus bridge theorems

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