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

Desktop app for visualizing graph search algorithms

The Single Queue Simulation is an implementation of a simulation model with multiple servers and queue priority.

An Implementation of Blocks World problem with python. The blocks world is one of the most famous planning domains in artificial intelligence for more info (https://en.wikipedia.org/wiki/Blocks_world)

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

Search, Knowledge, Uncertainty, Optimization, Learning, Neural Networks and Language.

The first assignment of CS106 (Artifitial Intelligent) of UIT.

This program solves a 2D maze with the help of several search algorithms like BFS, DFS, A* (A-Star) etc.

Different algorithms of AI implemented in Python.

A curated list of my Artificial Intelligence project.

Algoritmo para encontra la salida de un laberinto, dado un punto de inicio y algunos obstáculos, usando un algoritmo de búsqueda no informada de tipo "Búsqueda en profundidad" (DFS).

The program will compute a route between the origin city and the destination city, and will print out both the length of the route and the list of all cities that lie on that route. It should also display the number of nodes expanded and nodes generated.

8 Puzzle Solver Using Classical Search Algorithms: DFS | BFS | A*

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

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

graph search algorithms depicted on a nxn matrix graph

Artificial Intelligence Lab