AI Partial Order Planning MCQ

This section focuses on "Partial Order Planning" in Artificial Intelligence. These Multiple Choice Questions (mcq) should be practiced to improve the AI skills required for various interviews (campus interviews, walk-in interviews, company interviews), placements, entrance exams and other competitive examinations.

1. The process by which the brain incrementally orders actions needed to complete a specific task is referred as ______________

A. Total order planning
B. Planning problem
C. Partial order planning
D. Both B and C

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2. Following is/are the components of the partial order planning.

A. Bindings
B. Goal
C. Causal Links
D. All of the above

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3. Sussman Anomaly can be easily and efficiently solved by partial order planning.

A. True
B. False
C. Sussman Anomaly can be easily solved but not efficiently.
D. Sussman Anomaly can not be easily solved but efficiently.

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4. Which of the following search belongs to totally ordered plan search?

A. Forward state-space search
B. Hill-climbing search
C. Depth-first search
D. Breadth-first search

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5. Which cannot be taken as advantage for totally ordered plan search?

A. Composition
B. State search
C. Problem decomposition
D. None of the Above

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6. What is the advantage of totally ordered plan in constructing the plan?

A. Reliability
B. Easy to use
C. Flexibility
D. All of the above

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7. How many possible plans are available in partial-order solution?

A. 5
B. 6
C. 7
D. 9

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8. What are present in the empty plan?

A. Start
B. Finish
C. Modest
D. Both A and B

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9. What are not present in start actions?

A. Preconditions
B. Effect
C. Finish
D. None of the Above

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10. What are not present in finish actions?

A. Preconditions
B. Effect
C. Finish
D. None of the Above

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