topos-generate
Topos Generation Skill (PLUS +1)
Sheaf-theoretic model generation via forcing
Trit: +1 (PLUS)
Color: #D82626 (Red)
Role: Generator/Creator
Core Concept
A topos E generates models via:
- Subobject classifier Ω (truth values)
- Internal language (Mitchell-Bénabou)
- Forcing semantics (Kripke-Joyal)
E^op
↓ yoneda
[E^op, Set]
↓ sheafification
Sh(E, J) ← topos!
Subobject Classifier Ω
In Set: Ω = {0, 1} = Bool In Sh(X): Ω = {open subsets of X} In Sh(C,J): Ω = sieves
For any mono m: A ↣ B
∃! χ_m: B → Ω such that:
A ───→ 1
↓ ↓ true
B ──→ Ω
χ_m
Internal Language (Mitchell-Bénabou)
Every topos has an internal type theory:
Types ↔ Objects
Terms ↔ Morphisms
Predicates ↔ Subobjects
∧, ∨, → ↔ Ω operations
∀, ∃ ↔ Quantifiers via adjoints
Internal Logic
⟦A ∧ B⟧ = ⟦A⟧ ×_Ω ⟦B⟧
⟦A → B⟧ = Ω^{⟦A⟧ → ⟦B⟧}
⟦∀x:X. φ(x)⟧ = ∏_{x:X} ⟦φ(x)⟧
Kripke-Joyal Forcing
Stage-wise truth at object U:
U ⊩ φ ∧ ψ ⟺ U ⊩ φ and U ⊩ ψ
U ⊩ φ → ψ ⟺ ∀f:V→U. V ⊩ φ ⟹ V ⊩ ψ
U ⊩ ∀x:X.φ ⟺ ∀f:V→U, ∀a:X(V). V ⊩ φ[a/x]
U ⊩ ∃x:X.φ ⟺ ∃ cover {Uᵢ→U}, ∃aᵢ:X(Uᵢ). Uᵢ ⊩ φ[aᵢ/x]
Integration with Cider/Clojure
(ns topos.generate
(:require [acsets.core :as acs]))
;; Subobject classifier for finite topos
(defn omega [topos]
(let [sieves (all-sieves (:site topos))]
{:object sieves
:true (maximal-sieve topos)
:false (empty-sieve)}))
;; Force a proposition at stage
(defn force [stage prop env]
(case (:type prop)
:and (and (force stage (:left prop) env)
(force stage (:right prop) env))
:implies (every? (fn [morphism]
(let [stage' (compose stage morphism)]
(if (force stage' (:antecedent prop) env)
(force stage' (:consequent prop) env)
true)))
(covers stage))
:forall (every? (fn [[morphism witness]]
(force (compose stage morphism)
(:body prop)
(assoc env (:var prop) witness)))
(all-witnesses stage (:type prop)))
:exists (some (fn [[cover witnesses]]
(every? (fn [[morph wit]]
(force (compose stage morph)
(:body prop)
(assoc env (:var prop) wit)))
(zip cover witnesses)))
(all-covers-with-witnesses stage (:type prop)))))
;; Generate model satisfying formula
(defn generate-model [topos formula]
(let [stages (objects topos)]
(for [stage stages
:when (force stage formula {})]
{:stage stage
:witnesses (collect-witnesses stage formula)})))
Forcing for Set Theory
Cohen forcing generates new sets:
P = partial functions ω → 2 (finite approximations)
G = generic filter (added by forcing)
M[G] = { interpretation of names under G }
GF(3) Triads
sheaf-cohomology (-1) ⊗ dialectica (0) ⊗ topos-generate (+1) = 0 ✓
temporal-coalgebra (-1) ⊗ open-games (0) ⊗ topos-generate (+1) = 0 ✓
three-match (-1) ⊗ kan-extensions (0) ⊗ topos-generate (+1) = 0 ✓
Commands
# Generate subobject classifier
just topos-omega site
# Force proposition at stage
just topos-force stage "∀x. φ(x)"
# Generate satisfying model
just topos-model formula
# Internal language translation
just topos-internal formula
Topos Models in Practice
| Topos | Generates | Application |
|---|---|---|
| Set | Classical sets | Standard math |
| Sh(X) | Varying sets over X | Geometry |
| Sh(G) | G-sets | Symmetry |
| Eff | Computable functions | Computability |
| Dialectica | Proof-relevant math | Type theory |
References
- Mac Lane & Moerdijk, "Sheaves in Geometry and Logic"
- Johnstone, "Sketches of an Elephant"
- Awodey, "Category Theory" §8
- nLab: https://ncatlab.org/nlab/show/forcing
More from plurigrid/asi
academic-research
Search academic papers across arXiv, PubMed, Semantic Scholar, bioRxiv, medRxiv, Google Scholar, and more. Get BibTeX citations, download PDFs, analyze citation networks. Use for literature reviews, finding papers, and academic research.
52wev-tesseract
WEV Tesseract Skill
33tree-sitter
AST-based code analysis using tree-sitter. Use for parsing code structure, extracting symbols, finding patterns with tree-sitter queries, analyzing complexity, and understanding code architecture. Supports Python, JavaScript, TypeScript, Go, Rust, C, C++, Swift, Java, Kotlin, Julia, and more.
22alife
Comprehensive Artificial Life skill combining ALIFE2025 proceedings, classic texts (Axelrod, Epstein-Axtell), ALIEN simulation, Lenia, NCA, swarm intelligence, and evolutionary computation. 337 pages extracted, 80+ papers, 153 figures.
16reverse-engineering
Reverse Engineering Skill
16bdd-mathematical-verification
BDD-Driven Mathematical Content Verification Skill
16