Question:
The reason for the uncertainty in the Wumpus World Problem is that the agent’s sensor provides only the following information.
The reason for the uncertainty in the Wumpus World Problem is that the agent’s sensor provides only the following information.
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In AI, partial observability means that an agent does not have full knowledge of the state, and local perception implies that the sensor data is restricted to a nearby area.
Updated On: Feb 27, 2025
- partial and global
- partial and local
- full and global
- full and local
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The Correct Option is B
Solution and Explanation
Step 1: Understanding the Wumpus World Problem
The Wumpus World is a classic problem in artificial intelligence that involves an agent navigating a grid environment with uncertainties. The agent relies on limited sensory data to make decisions.
Step 2: Analyzing Sensor Information
- The agent's sensors only provide partial information about the environment because they cannot directly perceive the entire grid.
- The sensors operate locally, meaning they only detect information about adjacent or nearby grid cells rather than the entire environment.
Step 3: Explanation of Options
- Option (A) partial and global: Incorrect, as the agent’s perception is limited to local surroundings.
- Option (B) partial and local (Correct): The agent gets limited, localized information, leading to uncertainty.
- Option (C) full and global: Incorrect, as the agent lacks a complete view of the environment.
- Option (D) full and local: Incorrect, as full information is not available at any time.
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