Package/Script Name: AI-based AI Maze Solver
Short Description: AI-based AI Maze Solver is a Python script that implements an AI algorithm to solve a maze automatically. The AI uses the A* (A-Star) search algorithm with a heuristic function to efficiently navigate through the maze and find the shortest path to the goal.
Functionalities/Script:
MazeSolver class: Represents the AI-based maze solver. A* algorithm: Implements the A* search algorithm with a heuristic function to find the shortest path. Heuristic function: Calculates the estimated cost (heuristic) from a cell to the goal to guide the A* search. Setup Instructions:
Make sure you have Python installed on your system (Python 3.6 or higher). Download the AI_maze_solver.py file from the repository or package. Explanation of Script: The AI-based AI Maze Solver script enables you to solve mazes automatically using the A* search algorithm. The A* algorithm combines the cost to reach a cell (path cost) with an estimated cost to the goal (heuristic) to efficiently explore the maze and find the shortest path.
Usage:
Create a maze representation as a 2D array, where 0 represents empty cells, 1 represents obstacles/walls, and 2 represents the starting position. For example: python Copy code maze = [ [1, 1, 0, 0, 0], [0, 1, 1, 0, 1], [0, 0, 0, 0, 1], [1, 1, 0, 1, 0], [2, 0, 0, 1, 1], ] Initialize the MazeSolver class with the maze. python Copy code from AI_maze_solver import MazeSolver
maze_solver = MazeSolver(maze) Use the find_path() method to get the shortest path from the starting position to the goal. python Copy code path = maze_solver.find_path() print("Shortest Path:", path) Output: The AI-based AI Maze Solver script will output the shortest path from the starting position to the goal in the maze.
Author: Shikhar9425