RTT-Go Bot (Flagship Module)
Purpose#
It provides full triadic identity for Go positions using:
- continuity arcs
- resonance fields
- drift arrows
- topology graphs
- ancestry lines
- paradox indicators
- collapse signatures
- projection-loss arcs
- unified triadic scoring
- KataGo analysis JSON
- MCTS triadic hooks
- triadic HUD
- combined triadic view
RTT-Go is the module that demonstrates the complete RTT pipeline in a real, world-class domain.
What RTT-Go Teaches#
- Continuity: long-arc identity of a position
- Resonance: pressure gradients from influence
- Topology: cut points, weak points, ladders, ko
- Ancestry: lineage of tactical sequences
- Drift: influence flow direction
- Risk: paradox, collapse, projection-loss
- Triadic scoring: unified Harmonia synthesis
- MCTS integration: triadic-aware priors and ordering
Files#
module_go.json#
Expanded flagship manifest: pipeline, operators, overlays, MCTS hooks, scoring weights, KataGo integration, golden example.
module_go_schema.json#
Full JSON Schema for the StateEmitter output.
golden/example_input.sgf#
AlphaGo vs Lee Sedol, Game 4, Move 78.
golden/example.json#
Full triadic state for the flagship example.
Pipeline (v1)#
- Input: KataGo analysis JSON
- Lumen: influence, pressure, connectivity
- Hephaestus: regime mapping
- Aurion: topology + ancestry
- Harmonia: triadic scoring
- StateEmitter: JSON matching
module_go_schema.json
Scope#
- KataGo-only integration
- No engine forking
- No UI beyond schema
- Full triadic overlays
- Full MCTS hook definitions
RTT-Go is the canonical RTT demonstration — the module that proves triadic identity in a deep, complex, world-class domain.