Question:

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 6, 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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