AI Algorithms

### ### ## ## # 🧠 AI Algorithms: The Cyber Mind

The AI in Cyber Chess uses a classic game-theory approach optimized for real-time web performance.

1. Decision Logic (Minimax)

We use the Minimax Algorithm with Alpha-Beta Pruning. This allows the AI to "see" into the future by simulating possible moves and discarding paths that lead to a disadvantage.

2. Evaluation Metrics

The AI calculates the "score" of a board state based on:

• Material Value: Pawns (100), Knights (320), etc.
• Positioning: Using Piece-Square Tables (PSQT) to reward center control.

3. Performance Tiers

Level	Depth	Features
Easy	1 Ply	Material count only
Hard	5 Ply	Alpha-beta + Move ordering

🤖 AI Logic Flow

graph TD
    A[Start AI Turn] --> B{Check Difficulty}
    B -- Level 1 --> C[Random Move Selection]
    B -- Level 3 --> D[Minimax Depth 3]
    B -- Level 5 --> E[Alpha-Beta Depth 5]
    
    D --> F[Evaluate Board State]
    E --> F
    
    F --> G[Move Ordering - MVV/LVA]
    G --> H[Select Optimal Move]
    C --> H
    H --> I[Execute Move in UI]
    I --> J[Neon Pulse Animation]

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