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Tutorial Exercises MCQs Interview Q & A Tests
ai-foundation / Reasoning and Planning
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Direction: Choose the correct option

Q1.

What is planning in AI?
A. Predicting the weather
B. Optimizing a database
C. Evaluating sensor data
D. Generating a sequence of actions to achieve a goal
Direction: Choose the correct option

Q2.

A classical planning problem assumes:
A. Stochastic actions
B. Deterministic actions, full observability, static environment
C. Partial observability
D. Dynamic environment
Direction: Choose the correct option

Q3.

What is STRIPS in AI planning?
A. A planning competition
B. A robot
C. A search algorithm
D. A language for representing planning problems
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Q4.

Forward state-space search in planning starts from:
A. Previous plan
B. Goal state
C. Random state
D. Initial state
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Q5.

Backward state-space search (regression) starts from:
A. Any state
B. Heuristic state
C. Initial state
D. Goal state and works backwards
Direction: Choose the correct option

Q6.

What is a partial-order plan?
A. A randomly generated plan
B. A plan where actions are not totally ordered
C. An incomplete plan
D. A probabilistic plan
Direction: Choose the correct option

Q7.

Which type of reasoning is most common in expert systems?
A. Both
B. Forward chaining
C. Backward chaining
D. Neither
Direction: Choose the correct option

Q8.

What is a key challenge in real-world planning compared to classical planning?
A. Simple environments
B. Too many actions
C. Not enough goals
D. Uncertainty and continuous time
Direction: Choose the correct option

Q9.

Which algorithm is used for probabilistic planning (Markov Decision Processes)?
A. A*
B. Hill climbing
C. DFS
D. Value iteration
Direction: Choose the correct option

Q10.

Monte Carlo Tree Search (MCTS) gained prominence through:
A. Deep Blue
B. AlphaGo
C. Watson
D. Siri