AI #4

New Issue

Weyoun · 2025-11-23T13:44:23Z

Weyoun commented

2025-11-23 13:44:23 +00:00

I want to be able to play against the AI and not need to play both sides when I am playing on my own.

Weyoun commented

2025-11-23 13:50:17 +00:00

🤖 Hive Mind Analysis - Issue #4: AI Opponent

Analysis Date: 2025-11-23
Status: ✅ Feature Request Analyzed

🎯 Issue Summary

Request for AI opponent functionality to allow single-player mode against the computer instead of requiring two human players.

🔍 Current State Analysis

Finding: No AI implementation currently exists in the codebase

Verified:

No AI/engine files in js/ directory
No computer player logic
No move evaluation algorithms
No difficulty settings
Game currently requires manual moves for both sides

🏗️ Implementation Approach

This is a feature request requiring new implementation. Recommended approach:

Option 1: Simple Random AI (Quick Implementation)

Difficulty: Easy
Effort: 4-8 hours
Choose random legal moves
Good for basic testing

Option 2: Minimax Algorithm (Medium)

Difficulty: Medium
Effort: 16-24 hours
Evaluation function for positions
Configurable search depth
Decent playing strength

Option 3: Alpha-Beta Pruning (Advanced)

Difficulty: Advanced
Effort: 40-60 hours
Optimized minimax
Move ordering
Transposition tables
Strong playing ability

📁 Required New Files

js/ai/
  ├── ChessAI.js           // Main AI controller
  ├── MoveEvaluator.js     // Position evaluation
  ├── SearchAlgorithm.js   // Minimax/Alpha-beta
  └── AIPlayer.js          // AI player interface

🛠️ Implementation Steps (Option 2: Minimax)

Create AI Infrastructure:
- Create js/ai/ directory
- Implement position evaluation function
- Implement minimax algorithm
Integrate with GameController:
- Add AI player mode toggle
- Detect when AI should move
- Execute AI moves automatically
UI Updates:
- Add "Play vs AI" button
- Add difficulty selector
- Show AI "thinking" indicator
- Display AI move highlights
Testing:
- Verify legal moves only
- Test different difficulty levels
- Ensure no infinite loops
- Test undo/redo with AI moves

💡 Key Components Needed

1. Position Evaluation (MoveEvaluator.js):

evaluatePosition(board, color) {
  // Material value (piece values)
  // Positional bonuses (center control, etc.)
  // King safety
  // Mobility (available moves)
  return score;
}

2. Minimax Algorithm (SearchAlgorithm.js):

minimax(board, depth, maximizing, alpha, beta) {
  // Recursive search
  // Alpha-beta pruning
  // Return best move
}

3. AI Integration (ChessAI.js):

getBestMove(board, gameState, difficulty) {
  const depth = difficultyToDepth(difficulty);
  return minimax(board, depth);
}

📊 Effort Estimation

Component	Effort	Priority
Position Evaluator	6-8h	High
Minimax Algorithm	8-12h	High
AI Integration	4-6h	High
UI Controls	2-3h	Medium
Testing & Tuning	8-10h	High
Total	28-39h

🧪 Testing Requirements

AI makes only legal moves
AI doesn't crash on edge cases
Performance acceptable (< 2s per move)
Different difficulties work correctly
AI handles special moves (castling, en passant)
Undo/redo works with AI moves
AI detects checkmate/stalemate

📚 Recommended Resources

Chess Programming Wiki
Minimax algorithm tutorials
Alpha-beta pruning optimization
Piece-square tables for evaluation

🎯 Alternative: Use Existing Library

Consider using existing chess engines:

chess.js + Stockfish.js (lightweight WASM)
lozza.js (JavaScript engine)
Benefits: Faster implementation, stronger play
Tradeoff: Less customization, larger bundle

📊 Impact

Type: Feature Request (New Development)
Complexity: Medium-High
User Impact: High (major feature)
Effort: 28-39 hours (minimax) or 8-12 hours (library integration)
Dependencies: None (can be developed independently)

🔖 Analysis Marker: Analyzed by Hive Mind Collective Intelligence System

## 🤖 Hive Mind Analysis - Issue #4: AI Opponent **Analysis Date:** 2025-11-23 **Status:** ✅ Feature Request Analyzed ### 🎯 Issue Summary Request for AI opponent functionality to allow single-player mode against the computer instead of requiring two human players. ### 🔍 Current State Analysis **Finding:** No AI implementation currently exists in the codebase **Verified:** - No AI/engine files in `js/` directory - No computer player logic - No move evaluation algorithms - No difficulty settings - Game currently requires manual moves for both sides ### 🏗️ Implementation Approach This is a **feature request** requiring new implementation. Recommended approach: #### **Option 1: Simple Random AI (Quick Implementation)** - Difficulty: Easy - Effort: 4-8 hours - Choose random legal moves - Good for basic testing #### **Option 2: Minimax Algorithm (Medium)** - Difficulty: Medium - Effort: 16-24 hours - Evaluation function for positions - Configurable search depth - Decent playing strength #### **Option 3: Alpha-Beta Pruning (Advanced)** - Difficulty: Advanced - Effort: 40-60 hours - Optimized minimax - Move ordering - Transposition tables - Strong playing ability ### 📁 Required New Files ``` js/ai/ ├── ChessAI.js // Main AI controller ├── MoveEvaluator.js // Position evaluation ├── SearchAlgorithm.js // Minimax/Alpha-beta └── AIPlayer.js // AI player interface ``` ### 🛠️ Implementation Steps (Option 2: Minimax) 1. **Create AI Infrastructure:** - Create `js/ai/` directory - Implement position evaluation function - Implement minimax algorithm 2. **Integrate with GameController:** - Add AI player mode toggle - Detect when AI should move - Execute AI moves automatically 3. **UI Updates:** - Add "Play vs AI" button - Add difficulty selector - Show AI "thinking" indicator - Display AI move highlights 4. **Testing:** - Verify legal moves only - Test different difficulty levels - Ensure no infinite loops - Test undo/redo with AI moves ### 💡 Key Components Needed **1. Position Evaluation (`MoveEvaluator.js`):** ```javascript evaluatePosition(board, color) { // Material value (piece values) // Positional bonuses (center control, etc.) // King safety // Mobility (available moves) return score; } ``` **2. Minimax Algorithm (`SearchAlgorithm.js`):** ```javascript minimax(board, depth, maximizing, alpha, beta) { // Recursive search // Alpha-beta pruning // Return best move } ``` **3. AI Integration (`ChessAI.js`):** ```javascript getBestMove(board, gameState, difficulty) { const depth = difficultyToDepth(difficulty); return minimax(board, depth); } ``` ### 📊 Effort Estimation | Component | Effort | Priority | |-----------|--------|----------| | Position Evaluator | 6-8h | High | | Minimax Algorithm | 8-12h | High | | AI Integration | 4-6h | High | | UI Controls | 2-3h | Medium | | Testing & Tuning | 8-10h | High | | **Total** | **28-39h** | | ### 🧪 Testing Requirements - [ ] AI makes only legal moves - [ ] AI doesn't crash on edge cases - [ ] Performance acceptable (< 2s per move) - [ ] Different difficulties work correctly - [ ] AI handles special moves (castling, en passant) - [ ] Undo/redo works with AI moves - [ ] AI detects checkmate/stalemate ### 📚 Recommended Resources - Chess Programming Wiki - Minimax algorithm tutorials - Alpha-beta pruning optimization - Piece-square tables for evaluation ### 🎯 Alternative: Use Existing Library Consider using existing chess engines: - **chess.js** + **Stockfish.js** (lightweight WASM) - **lozza.js** (JavaScript engine) - Benefits: Faster implementation, stronger play - Tradeoff: Less customization, larger bundle ### 📊 Impact - **Type:** Feature Request (New Development) - **Complexity:** Medium-High - **User Impact:** High (major feature) - **Effort:** 28-39 hours (minimax) or 8-12 hours (library integration) - **Dependencies:** None (can be developed independently) **🔖 Analysis Marker:** Analyzed by Hive Mind Collective Intelligence System

Weyoun added the

analyzed

label 2025-11-23 13:51:34 +00:00

Weyoun added the

feature

label 2025-11-23 13:53:36 +00:00

Sign in to join this conversation.

1 Participants

Notifications

Due Date

No due date set.

Dependencies

No dependencies set.

Reference: Weyoun/chess#4