📁 quaternary.json

{
  "name": "classical_quaternary",
  "type": "logic_system",
  "domain": "multi_path_logic",
  "dimension": "cognitive",
  "description": "Four-state logic structure enabling complex decision branching and multi-vector inference in AI systems. Ideal for non-binary multi-outcome scenarios.",
  "states": [0, 1, 2, 3],
  "use_cases": [
    "Multi-path AI decisions",
    "State machines with four discrete transitions",
    "High-level rule optimization"
  ],
  "related_concepts": [
    "ternary_logic",
    "quaternary_logic",
    "recursive_intelligence"
  ],
  "activation_conditions": [
    "Engaged when system requires multi-branch reasoning or simultaneous path prediction"
  ],
  "tags": [
    "quaternary",
    "logic",
    "multi_path",
    "decision_tree",
    "branching"
  ],
  "version": "1.0.0",
  "last_updated": "2025-06-04"
}