Wumpus World
term_id: wumpus_world
Category: basic_concepts
Definition
The Wumpus World is a grid-based environment introduced in Russell and Norvig’s AI textbook. An agent must navigate the grid to find gold while avoiding pits and a Wumpus monster. The agent perceives local cues like breezes near pits or a stench near the Wumpus, requiring logical inference to map safe paths. It serves as a foundational benchmark for understanding belief states, probabilistic reasoning, and search algorithms in partially observable, stochastic settings.
Summary
A classic artificial intelligence environment used to demonstrate reasoning under uncertainty and partial observability.
Key Concepts
- Partial Observability
- Logical Inference
- Grid World
- Agent Perception
Use Cases
- Teaching AI logic and reasoning
- Benchmarking search algorithms
- Demonstrating probabilistic models