Digital Fluency 3

1. _________ produces hypotheses that are easy to read for humans.

• a. Machine Learning.

• b. ILP

• c. First-order logic.

• d. Propositional logic.

2. What is the total number of quantification available in artificial intelligence?

• a. 4

• b. 3

• c. 1

• d. 2

3. What does a system use to receive the input and act on the environment?

• a. Actuators.

• b. Capacitor.

• c. Sensor.

• d. Both actuator and sensor.

4. Which of the following are the 5 big ideas of AI?

• a. Perception.

• b. Human-AI Interaction.

• c. Societal Impact.

• d. All of the above.

5. Which of the following search method takes less memory?

• a. Optimal-Linear Search.

• b. Binary Search.

• c. Breadth-First search.

• d. Depth-First Search.

6. What property should a good system for the representation of knowledge in a particular domain possess?

• a. Inferential Adequacy.

• b. Inferential Efficiency.

• c. Representational Adequacy.

• d. All of the above.

7. Artificial Intelligence is about ___________.

• a. Playing a game on Computer.

• b. Making a machine Intelligent.

• c. Programming on Machine with your Own Intelligence.

• d. Putting your intelligence in Machine.

8. Select the most appropriate situation for that a blind search can be used.

• a. Real-life situation.

• b. Small Search Space.

• c. Complex game.

• d. All of the above.

9. A technique that was developed to determine whether a machine could or could not demonstrate the artificial intelligence known as the _______________.

• a. Knowledge Base.

• b. Inference Engine.

• c. User Interface.

• d. All of the above.

10. The application/applications of Artificial Intelligence is/are-

• a. Expert Systems.

• b. Gaming.

• c. Vision Systems.

• d. All of the above.