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.
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.
Comparing a full-map A* oracle with partially observable knowledge-based and genetic-policy agents in Wumpus World.
AI-powered Minesweeper game built with Python and Pygame using logical inference and knowledge-based reasoning.
Dynamic Wumpus World Knowledge-Based Agent using Propositional Logic and Resolution Refutation | Built with FastAPI + Tailwind CSS
An interactive AI agent that navigates a dynamic Wumpus World using logical inference and percept-based reasoning. The system uses Flask for backend processing and a modern web UI for real-time visualization of agent decisions, hazards, and exploration paths.
A web-based Wumpus World Logic Agent that uses Propositional Logic and Resolution Refutation to navigate a grid and find gold safely.
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