bbugyi200/WumpusWorld

Stuart Russel and Peter Norvig's Wumpus World environment...

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Experimental

This project simulates a classic AI problem: an agent navigating a dangerous cave to find gold. It takes a virtual cave environment with hidden threats (wumpus, pits) and a randomly placed treasure as input. The output is a demonstration of an intelligent agent's decision-making process, using logic and sensory input to find the gold and escape. This is for AI researchers, students, and educators exploring knowledge-based agents and logical reasoning in uncertain environments.

No commits in the last 6 months.

Use this if you are studying or teaching artificial intelligence and want to visualize how a logical agent interacts with a classic problem environment using limited sensory information.

Not ideal if you need a practical tool for real-world navigation or resource gathering, as this is a theoretical simulation for AI education.

artificial-intelligence-education logical-reasoning agent-simulation knowledge-representation problem-solving
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 15 / 25

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Stars

7

Forks

5

Language

Python

License

Last pushed

May 10, 2017

Commits (30d)

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