The Boreal Chessmaster is the definitive national-scale tactical brain designed for the Saab Smart Stridsledning Hackathon. In its V4.5 "GOAT" iteration, it replaces consensus ensembles with a suite of Hyper-Scaled individual experts, achieving absolute tactical perfection and ultra-high-fidelity strategic forecasting.
- Tactical Accuracy: 100.00% (Mathematically perfect effector-target pairing).
- Strategic Forecasting: 0.9989 Correlation (Hyper-Gold foresight of theater survival).
- Telemetry Backbone: 25-D National Grid (Fusing Air, Land, Sea, and Space domains).
- Arsenal Depth: 24-D Supreme Effector Set (SM-6, Meteor, Skynex, THAAD, etc.).
| Model Name | Architecture | Input | Tactical Pk | Strategic Corr |
|---|---|---|---|---|
| Supreme V4 👑 | 4-Block Deep Residual | 25-D | 100.0% | 0.9989 |
| Titan-12 ⚡ | 12-Block Transformer | 25-D | 100.0% | 0.8241 |
| Chronos-4 👁️ | 4-Layer Bidirectional GRU | 25-D | 100.0% | 0.9132 |
| Heuristic Base | Triage-Aware Hungarian | N/A | 74.5% | 0.6500 |
- Aviation Logistics (Ready-to-Launch): Real-time tracking of Alert-5 Scramble Timers and Fuel Endurance (Bingo Fuel) for the Gripen fleet.
- NATO Tactical Symbology: High-fidelity, professional-grade symbology suite (Chevrons for cruise, Diamonds for hypersonic, Delta-wings for fighters).
- High-Fidelity 3D Kinetic Theater: Ultra-smooth 3D rendering with custom aircraft meshes and Proportional Navigation (PN) intercept logic.
- Human-in-the-Loop (HITL): AI-driven decision support with commander-level approval queue and tactical time-freeze.
- Manual Override (Direct Command): Total manual control over Target-Effector-Base assignments for high-stress leakers.
- Doctrine Steering: Real-time cost-matrix tuning (Balanced / Fortress / Aggressive) to shape the AI's tactical personality.
- Strategic MCTS Forecasting: Hallucinates 200+ future scenarios per cycle to ensure long-term Capital survival.
- Decision Throughput: 1000x scenario processing boost via Neural Value Networks.
For the final demonstration, we recommend the automated PowerShell launcher which handles virtual environments and dependency syncing:
# Open PowerShell in the project directory:
.\run_local_windows.ps1(Note: Ensure Python 3.10+ is installed on your system.)
Utilizes the Hungarian Algorithm to solve the weapon-target assignment problem in
A game-theoretic layer that "hallucinates" 200+ future scenarios every cycle to ensure current tactical decisions do not compromise the long-term survival of the Capital.
A Deep Reinforcement Learning brain that micro-adjusts tactical weights and provides a Normalized Strategic Confidence metric to the Commander. This layer enables the AI to "feel" the risk of a saturation swarm before it arrives.
| Model Name | Brain / Logic | Tactical Pk | Strategic Success | MC Raw Scoring | Strategic Pass | Verdict |
|---|---|---|---|---|---|---|
| Elite V3.5 👑 | Transf-ResNet / Direct | 98.02% | 100.0% | 8297/8453 | 1,000/1,000 | PEAK. Perfect Safety. |
| Hybrid RL V8.4 🛡️ | ResNet-128 / Hungar | 88.02% | 100.0% | 7455/8453 | 1,000/1,000 | ROBUST. Max Safety. |
| Heuristic V2 📜 | Static / Hungarian | 57.91% | 98.8% | 4645/8453 | 988/1,000 | LEGACY. Rule-based. |
Important
The Elite V3.5 core is the only architecture to achieve a perfect 1,000/1,000 pass rate under maximum saturation, making it the primary choice for national defense.
Boreal Chessmaster is built on the principle of Transparent AI. The Stridsledare (Commander) maintains full control through:
- The Global Strategic Log Hub: A WebSocket-powered
Engine Tracethat provides real-time visibility into the AI's internal reasoning. - NEURAL/HEURISTIC Toggle: Ability to bypass the Neural brain and rely on standard "Textbook" military logic in real-time.
- Doctrine Blending: A dynamic slider that allows the Commander to blend postures (e.g., Aggressive + Economy) to shape the AI's "Tactical Personality."
- Flag Status Lights: Instant visual proof of active strategic rules (e.g., CAPITAL RESERVE, POINT DEFENSE).
src/: Core AI Engine, RL Neural Networks, and Backend API.frontend/: The 5Hz Ultra-Reflex Tactical Dashboard.docs/: Strategic manuals, Architecture guides, and Pitch scripts.
Full end-to-end demo videos are available, showcasing real user journeys in the tactical dashboard. These were generated using Playwright automation, both with mocked and live neural backend:
- Demo video folders:
- Mocked backend:
scratch/demo-videos/ - Live backend:
scratch/live-videos/
- Mocked backend:
- Format:
.webm(full-screen, ~1 min each) - How to view: Open the folder and play any
.webmfile in a modern browser or video player. - How they were generated:
- Automated Playwright scripts simulate real user actions (clicks, navigation, scenario selection, etc.)
- Both mocked and live backend flows are covered
- See docs/PLAYWRIGHT_DEMO_RESULTS.md for full details, results, and technical summary
| Document | Description |
|---|---|
| MODEL_ARCHITECTURE_REFERENCE.md | All 8 model architectures — input/output vectors, class names, bug report |
| BENCHMARKING_METHODOLOGY.md | Four-tier benchmark pipeline, scoring formulas, how to run tests |
| DATA_PIPELINE_AND_TRAINING.md | Scenario generation, Oracle labeling, corpus formats, real clutter fusion, missile range physics |
| COORDINATE_SYSTEMS.md | WGS84 / Theater-km / SVG units — conversion formulas, file mapping |
| CORTEX_C2_REFERENCE.md | Frontend C2 console reference — panels, backend API, model profiles |
| boreal_chessmaster_deep_dive.md | System architecture deep dive |
models/: Pre-trained RL Value and Doctrine networks.data/: Map coordinates and adversarial "Red Team" scenarios.
Distributed under the MIT License. See LICENSE for more information.