SanTOK Cognitive Documentation
This directory contains deep technical documentation for SanTOK Cognitive.
Document
Lines
Description
../ARCHITECTURE.md
~1200
Complete system architecture
../WHITEPAPER.md
~500
Academic paper / RFC
Deep Technical Specifications
Document
Lines
Description
GRAPH_DEEP.md
~520
Graph module internals
TREES_DEEP.md
~600
Trees module internals
ALGORITHMS_DEEP.md
~710
All algorithm formulas
REASONING_DEEP.md
~670
20+ inference rules
Formal & Planning Documents
Document
Lines
Description
INVARIANTS.md
~450
32 formal guarantees
ROADMAP_V2.md
~500
v2 future features
📐 Architecture Overview (../ARCHITECTURE.md)
System components diagram
Module dependencies
Data flow diagrams
Mathematical foundations
11 major sections
📄 Whitepaper (../WHITEPAPER.md)
Problem statement
Design philosophy
Architecture overview
Comparison with LLMs
Formal properties
🔷 Graph Module (GRAPH_DEEP.md)
GraphNode structure (100 bytes)
GraphEdge structure (150 bytes)
RelationType enum (15+ types)
GraphStore internals (O(1) ops)
Serialization formats
🌲 Trees Module (TREES_DEEP.md)
TreeNode structure
4 tree types (Concept, Document, Reasoning, Version)
Traversal algorithms (DFS, BFS)
Path operations
Tree metrics
🧮 Algorithms (ALGORITHMS_DEEP.md)
SanTOKRanker: score = α·R + β·C + γ·H + δ·F
SanTOK9Scorer: Digital root math
SanTOKSimilarity: 4-component formula
SanTOKGraphWalker: Energy-based traversal
SanTOKPatternMatcher: 34 patterns
🧠 Reasoning (REASONING_DEEP.md)
20+ inference rules (transitivity, inverse, etc.)
InferenceEngine algorithm
Contradiction detection (5 types)
SanTOKVerbalizer templates
Complete pipeline diagram
✅ Invariants (INVARIANTS.md)
32 formal invariants
Graph invariants (G1-G8)
Tree invariants (T1-T5)
Memory invariants (M1-M2)
Inference invariants (I1-I4)
Algorithm invariants (A1-A9)
System guarantees (S1-S4)
🚀 Roadmap v2 (ROADMAP_V2.md)
Phase 1: Belief Revision
Phase 2: Incremental Learning
Phase 3: Advanced Contradictions
Phase 4: Enhanced Verbalization
Phase 5: Performance Optimization
# Complete showcase
python -m santok_cognitive.showcase
# Pure SanTOK demo
python -m santok_cognitive.demo_pure
# Algorithms demo
python -m santok_cognitive.demo_algorithms
100% Unique - No borrowed algorithms
No Neural Networks - Pure symbolic
Explainable - Every decision traceable
Modular - Components work independently
Safe - Never modifies santok_complete
Metric
Count
Total documents
8
Total lines
~5,000+
Formal invariants
32
Inference rules
20+
Algorithm formulas
15+
ASCII diagrams
50+