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Welcome to the Game Planning MCQs Page

Dive deep into the fascinating world of Game Planning with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Game Planning, a crucial aspect of Artificial Intelligence. In this section, you will encounter a diverse range of MCQs that cover various aspects of Game Planning, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Artificial Intelligence.

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Check out the MCQs below to embark on an enriching journey through Game Planning. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Artificial Intelligence.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Game Planning. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Game Planning MCQs | Page 3 of 4

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Q21.
What is meant by consistent in state-space search?

a.

Change in the desired literals

b.

Not any change in the literals

c.

No change in goal state

d.

None of the mentioned

Discuss
Answer: (b).Not any change in the literals
Q22.
What will happen if a predecessor description is generated that is satisfied by the initial state of the planning problem?

a.

Success

b.

Error

c.

Compilation

d.

Termination

Discuss
Answer: (d).Termination
Q23.
Which approach is to pretend that a pure divide and conquer algorithm will work?

a.

Goal independence

b.

Sub-goal independence

c.

Both a & b

d.

None of the mentioned

Discuss
Answer: (b).Sub-goal independence
Q24.
In 1985, the famous chess player David Levy beat a world champion chess program in four straight games by using orthodox moves that confused the program. What was the name of the chess program?

a.

Kaissa

b.

CRAY BLITZ

c.

Golf

d.

DIGDUG

Discuss
Answer: (b).CRAY BLITZ
Q25.
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

Discuss
Answer: (c).Partial order planning
Q26.
Following is/are the components of the partial order planning.

a.

Bindings

b.

Goal

c.

Causal Links

d.

All of the above

Discuss
Answer: (d).All of the above
Q27.
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.

Discuss
Answer: (a).True
Q28.
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

Discuss
Answer: (a).Forward state-space search
Q29.
Which cannot be taken as advantage for totally ordered plan search?

a.

Composition

b.

State search

c.

Problem decomposition

d.

None of the Above

Discuss
Answer: (c).Problem decomposition
Q30.
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

Discuss
Answer: (c).Flexibility
Page 3 of 4

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