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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 2 of 4

Q11.
Where does the values of alpha-beta search get updated?
Discuss
Answer: (a).Along the path of search
Q12.
Which value is assigned to alpha and beta in the alpha-beta pruning?
Discuss
Answer: (d).Both a & b
Q13.
To which depth does the alpha-beta pruning can be applied?
Discuss
Answer: (d).Any depth
Q14.
Which values are independent in minimax search algorithm?
Discuss
Answer: (a).Pruned leaves x and y
Q15.
Which is the most straightforward approach for planning algorithm?
Discuss
Answer: (b).State-space search
Q16.
What are conditions taken into account of state-space search?
Discuss
Answer: (d).Both b & c
Q17.
How many ways are available to solve the state-space search?

a.

1

b.

2

c.

3

d.

4

Discuss
Answer: (b).2
Q18.
What is the other name for forward state-space search?
Discuss
Answer: (a).Progression planning
Q19.
What is the main advantage of backward state-space search?
Discuss
Answer: (c).Relevant actions
Q20.
What is the other name of backward state-space search?
Discuss
Answer: (a).Regression planning
Page 2 of 4

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