Battleship AI for Papergames

Advanced AI for Battleship on papergames.io with strategic weapon selection, Bayesian inference, and probability visualization

作者
longkidkoolstar
今日安裝
0
安裝總數
0
評價
0 0 0
版本
4.1.9
建立日期
2025-09-01
更新日期
2025-09-01
尺寸
55.1 KB
授權條款
MIT
腳本執行於

Battleship AI for Paper Games 🚢🤖

An advanced AI assistant for the classic Battleship game on papergames.io. This userscript implements sophisticated probability calculations, strategic weapon selection, and intelligent targeting to give you the competitive edge in naval warfare.

🎯 Features

Core AI Engine

  • Bayesian Probability System: Calculates optimal target locations using advanced probability theory
  • Dynamic Strategy Adjustment: Adapts tactics based on game progress and remaining ships
  • Pattern Recognition: Identifies ship placement patterns and adjusts targeting accordingly

Strategic Weapon Selection

  • Missile System: 5-cell cross pattern targeting for confirmed hits and early exploration
  • Fragment Bomb: 4-cell cluster targeting for high-probability areas
  • Nuclear Bomb: 9-cell area coverage (3×3 grid) for maximum impact
  • Smart Weapon Detection: Automatically detects available weapons and their quantities

Advanced Targeting

  • Probability Visualization: Color-coded heatmap showing hit probability for each cell
  • Ship Tracking: Monitors remaining ships and adjusts targeting strategy
  • Hit Confirmation System: Tracks confirmed hits and uses them to inform future moves
  • Question Mark Targeting: Intelligently targets cells marked with question marks

Quality of Life Features

  • Auto-Queue System: Automatically queues moves for faster gameplay
  • Real-time Statistics: Displays current game progress and weapon availability
  • Debug Console: Comprehensive logging for strategy analysis
  • Toggle Controls: Easy enable/disable for all major features

🚀 Installation

Prerequisites

Steps

  1. Install a userscript manager extension for your browser
  2. Click on the userscript manager icon and select "Create new script"
  3. Copy and paste the contents of Battleship AI for Papergames.user.js
  4. Save the script (Ctrl+S or Cmd+S)
  5. Navigate to papergames.io and start a Battleship game

🎮 How to Use

Basic Usage

  1. Start a new Battleship game on papergames.io
  2. The AI will automatically activate when it's your turn
  3. Watch the probability visualization appear on the opponent's board
  4. The AI will make optimal moves based on current game state

Advanced Controls

  • Probability Toggle: Click the "Toggle Visualization" button to show/hide probability heatmaps
  • Auto-Queue: Enable/disable automatic move queuing with the "Toggle Auto Queue" button
  • Manual Override: You can still make manual moves at any time - the AI will adapt

Understanding the Interface

Probability Visualization

  • Red cells: Highest probability of containing a ship
  • Orange cells: Medium probability
  • Yellow cells: Lower probability
  • Blue cells: Recently targeted (avoided in next moves)

Weapon Indicators

  • Missile: Available when you see the missile icon with a count > 0
  • Fragment Bomb: Available when you see the fragment-bomb icon with a count > 0
  • Nuclear Bomb: Available when you see the nuclear-bomb icon with a count > 0

🧠 Strategy Breakdown

Early Game (0-20% progress)

  • Focuses on maximum board coverage
  • Uses missiles for efficient exploration
  • Avoids nuclear bombs to preserve for later

Mid Game (20-60% progress)

  • Shifts to targeted hunting based on confirmed hits
  • Strategic use of fragment bombs for cluster targeting
  • Begins nuclear bomb consideration for high-value areas

Late Game (60%+ progress)

  • Aggressive hunting with all available weapons
  • Nuclear bombs for finishing damaged ships
  • Missiles for precise targeting of remaining cells

Weapon Selection Logic

Missile Usage Criteria

  • Near confirmed hits with good coverage
  • Early game exploration with excellent coverage
  • Question mark targeting with 3+ cell coverage
  • Maximum 5-cell coverage scenarios

Fragment Bomb Usage Criteria

  • Near confirmed hits for surrounding area clearance
  • High probability cross patterns (16+ combined probability)
  • Full 4-cell coverage requirement

Nuclear Bomb Usage Criteria

  • Early game: Only for nearly full coverage (8+ unknown cells)
  • Late game: Very high probability clusters (20+ combined probability)
  • Finishing moves on damaged ships

🔧 Technical Details

Architecture

  • Language: JavaScript (ES6+)
  • Framework: Vanilla JavaScript with DOM manipulation
  • Storage: GM.setValue/GM.getValue for persistent settings
  • Target Platform: papergames.io Battleship game interface

Key Components

  • Probability Engine: Calculates hit probabilities using Bayesian inference
  • Weapon Selector: Determines optimal weapon based on game state
  • Board Analyzer: Parses and analyzes the game board state
  • Move Executor: Interfaces with the game UI to make moves

Performance Optimizations

  • Efficient DOM Querying: Minimizes expensive DOM operations
  • Smart Caching: Caches probability calculations between moves
  • Debounced Updates: Prevents excessive recalculations
  • Memory Management: Proper cleanup of event listeners and intervals

🐛 Troubleshooting

Common Issues

AI Not Activating

  • Solution: Refresh the page and ensure the userscript is enabled
  • Check: Look for console messages indicating successful initialization

Probability Visualization Not Appearing

  • Solution: Click "Toggle Visualization" button
  • Check: Ensure the game board is fully loaded before the AI activates

Weapons Not Being Used

  • Solution: Check weapon availability in the game interface
  • Note: The AI only uses weapons when they're actually available in-game

Debug Information

Access browser console (F12) to see detailed logs including:

  • Weapon detection status
  • Probability calculations
  • Move decision rationale
  • Performance metrics

📊 Statistics and Metrics

The AI tracks and displays:

  • Game Progress: Percentage of total ship cells found
  • Remaining Ships: Count and size of undiscovered ships
  • Weapon Inventory: Real-time availability of special weapons
  • Hit Rate: Success rate of targeting decisions

🔄 Updates and Maintenance

Version History

  • v4.1.9: Latest stable release with full weapon support
  • v4.x Series: Major weapon system overhaul
  • v3.x Series: Probability engine improvements
  • v2.x Series: Basic AI implementation
  • v1.x Series: Initial concept and framework

Future Enhancements

  • Machine learning integration for pattern recognition
  • Advanced ship placement prediction
  • Multi-game statistical analysis
  • Custom strategy configuration options

⚖️ Legal and Ethical Considerations

Terms of Service

This userscript is designed to enhance gameplay experience on papergames.io. Users should:

  • Respect the platform's terms of service
  • Use the AI for educational and entertainment purposes
  • Not use for competitive tournaments unless explicitly allowed

Fair Play

The AI provides strategic assistance but does not:

  • Access hidden game data
  • Exploit game mechanics
  • Provide unfair advantages beyond strategic guidance

🤝 Contributing

Development Setup

  1. Fork the repository
  2. Install Tampermonkey for development
  3. Load the userscript in development mode
  4. Test changes on papergames.io

Reporting Issues

  • Use GitHub Issues for bug reports
  • Include browser version and userscript manager
  • Provide console logs for debugging
  • Include steps to reproduce the issue

Feature Requests

  • Open a GitHub Issue with the "enhancement" label
  • Describe the proposed feature and its benefits
  • Consider the impact on game balance

📄 License

This project is open source and available under the MIT License. See LICENSE file for details.

🙏 Acknowledgments

  • papergames.io for providing the Battleship platform
  • Tampermonkey team for the excellent userscript manager
  • Battleship community for feedback and testing

Note: This is a demonstration project showcasing AI concepts in gaming. While functional, it's designed as a proof of concept rather than a production-grade gaming assistant. Future updates may include true AI implementation using machine learning techniques.

For questions, issues, or contributions, please visit the GitHub repository.

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