This is an educational repository containing implementation of some search algorithms in Artificial Intelligence.

This Python implementation is a scaled up version of the Missionaries and Cannibals problem with arbitary number of missionaries, cannibals and boat capacity

Repositori untuk mata kuliah Artificial Intelligence & Machine Learning di Universitas Al Azhar Indonesia

Desktop app for visualizing graph search algorithms

This is an Artificial Intelligence project which solves the 8-Puzzle problem using different Artificial Intelligence algorithms techniques like Uninformed-BFS, Uninformed-Iterative Deepening, Informed-Greedy Best First, Informed-A* and Beyond Classical search-Steepest hill climbing.

This contains my Java based implementations for uninformed search strategies which inlcude BFS, DFS and A* algorithm in AI Spring 2018 class.

This repository contains generic platform for solving and benchmarking computational puzzles using different search strategies

Different algorithms of AI implemented in Python.

Array of AI Search algorithms is employed to playing Pac-Man ⍩⃝.

8 puzzle solver using: BFS, DFS, A* (Manhattan, Euclidean)

Artificial Intelligence Lab

implementation of informed and uninformed search algorithms: UCS, IDS, A*, Bi directional A* and IDA*.

Solution to three classic puzzles from the perspective of uninformed search. N-Queens, Lights Out and Linear Disk. Written in python 2.7

Solving the n-puzzle problem using informed and uninformed search strategies

My solution to BW20019 assignment for Artificial Intelligence course in UoM.

Implementation and comparison of most popular search algorithms.

This program solves the 8-puzzle game using different informed and uninformed search methods

some informed, uninformed, adversarial and local searches

Solving Towers of Hanoi game using uninformed search algorithms. (B.Sc. course work)

A monitor program using Qt Quick Application for monitoring Blocking Car (Rush Hour) game: A project to learn Uninformed and Informed AI Search