You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
An Artificial-Intelligent Agent programmed to traverse and navigate hazards and obstacles in the Wumpus World. The agent improves its actions with each iteration attempt.
This was done as a part of an assignment in my AI class which went on to become a mini-project of interest to me and I ended up developing an innovative solution to this AI based problem using python.
Esse trabalho realizou um estudo exploratório sobre algoritmos genéticos e também foi realizada implementação básica do modelo aplicada a resolução do problema do jogo mundo de Wumpus. Toda construção do algoritmo foi realizada na linguagem Java utilizando orientação a objetos.
Wumpus World AI Adventure is an engaging and educational game developed using Next.js that challenges players with a complex and strategic puzzle, all while showcasing the power of artificial intelligence.
Wumpus World AI Adventure is an engaging and educational game developed using Next.js that challenges players with a complex and strategic puzzle, all while showcasing the power of artificial intelligence.
The objective of this project is to create a videogame, inspired in Dungeons and Dragons board games, implementing basic AI (logical and probabilistic agents) and algorithms (world generation)