wumpus-world

An AI solution for Wumpus World in Python, featuring a Genetic Algorithm (GA) weighted agent, A* search, and rule-based knowledge base navigation.

Comparing a full-map A* oracle with partially observable knowledge-based and genetic-policy agents in Wumpus World.

This repository is a compilation of my activities from the subject course of CS321L-M - Artificial Intelligence Lab.

Simple and basic implementation of an intelligent agent on Wumpus World using Javascript, CSS and HTML

Minimax, Monte Carlo Tree Search, and a custom PettingZoo Wumpus World environment for comparing classical AI planning methods across game environments

Código fonte utilizado para a publicação de artigo acadêmico

A Knowledge-Based AI agent that solves the Wumpus World environment using logical reasoning and inference. Built with Python (PyScript), HTML, and JavaScript, the project demonstrates propositional logic, resolution theorem proving, and safe-path decision making with real-time grid visualization in the browser.

This project features a knowledge-based agent that explores a grid environment to locate gold while avoiding pits and a Wumpus. The agent uses percepts to update its knowledge base, making informed decisions, with its movements visualized using Pygame.

A Dynamic Wumpus Logic Agent is a web-based AI project where an agent uses propositional logic to infer safe moves in a Wumpus World grid. It combines a Flask backend and a React frontend to visually show percepts, safe cells, and game progress in real time.

This is a simulator for the Wumpus World adventure game developed by Gregory Yob in 1973 where the environment is partially observable.

A web-based Wumpus World Logic Agent that uses Propositional Logic and Resolution Refutation to navigate a grid and find gold safely.

Q-learning agent for a simplified Wumpus World. Learns optimal paths to gold while avoiding hazards.

A Dynamic Wumpus Logic Agent is a web-based AI project where an agent uses propositional logic to infer safe moves in a Wumpus World grid. It combines a Flask backend and a React frontend to visually show percepts, safe cells, and game progress in real time.

Dynamic Wumpus World Knowledge-Based Agent using Propositional Logic and Resolution Refutation | Built with FastAPI + Tailwind CSS

Wumpus World Agent - Artificial Intelligence HCMUS

A Knowledge-Based AI agent that solves the Wumpus World using Propositional Logic and Resolution Refutation, built with Python (Flask) and a simple interactive frontend.

Roskilde University, 2nd semester project (AI - Reinforcement Learning)

Wumpus World Hunt Game

Repository for Computational Intelligence Laboratory exercises in the 7th semester of the UG CSE program at Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu.

An interactive, single-file JS browser implementation of the classic AI Wumpus World environment featuring real-time percepts, shooting mechanics, and a propositional logic overlay.