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You want to design a smart agent that automatically adjusts room temperature based on sensor data. Which approach best fits this task?

hard📝 Model Choice Q15 of 15
Agentic AI - Future of AI Agents
You want to design a smart agent that automatically adjusts room temperature based on sensor data. Which approach best fits this task?
AUse a simple reflex agent that acts only on current sensor reading
BUse a fixed schedule agent ignoring sensor data
CUse a random agent that changes temperature randomly
DUse a model-based agent that keeps track of past temperatures
Step-by-Step Solution
Solution:
  1. Step 1: Understand task needs

    Adjusting temperature smartly requires remembering past data to avoid sudden changes.
  2. Step 2: Choose agent type

    A model-based agent keeps track of past states, making it suitable for this task.
  3. Final Answer:

    Use a model-based agent that keeps track of past temperatures -> Option D
  4. Quick Check:

    Smart adjustment needs model-based agent [OK]
Quick Trick: Smart agents remember past data for better decisions [OK]
Common Mistakes:
  • Choosing simple reflex agent ignoring history
  • Using random or fixed schedule agents
  • Not considering past sensor data

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