This project is a visual and interactive implementation of the Wumpus World AI problem, built using Python (Tkinter GUI) and Prolog (via pyswip). It demonstrates how logical agents can reason under uncertainty to safely navigate a dangerous environment in search of gold.
- The world is a 4x4 grid.
- You are an agent starting at cell
(1,1). - Your mission: Find the gold and return safely to the starting cell.
- The world contains dangerous pits and a Wumpus monster.
- The game uses percepts such as:
- Breeze: Pit nearby
- Stench: Wumpus nearby
- Glitter: Gold is in the current cell
- Scream: Wumpus has been killed
- 🧠 Prolog-powered reasoning: Logic-based movement, decision-making, and sensory updates
- 🎨 Custom Tkinter GUI: Beautiful and intuitive game board with modern styling
- 📜 Game rules display: Easy-to-read popup for first-time players
- 🧩 Agent Actions:
- Move to adjacent cells
- Shoot arrow (one shot)
- Grab gold
- Climb out of cave
- 📝 Real-time action log: Displays your move history
- 🎯 Scoring System:
- Start with 30 points
- Each move costs -1 point
- Shooting arrow costs -10
- Grabbing gold: +500
- Game over if you fall in a pit or meet the Wumpus!
Install the following with pip:
pip install pyswip pillow