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Welcome to the Problem Solving MCQs Page

Dive deep into the fascinating world of Problem Solving with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Problem Solving, a crucial aspect of Artificial Intelligence. In this section, you will encounter a diverse range of MCQs that cover various aspects of Problem Solving, 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 Problem Solving. 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 Problem Solving. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Problem Solving MCQs | Page 5 of 6

Discuss
Answer: (c).No neighbor has higher value
Q42.
Is optimality and completeness exist in bidirectional search algorithm?
Discuss
Answer: (a).Yes, Yes
Q43.
_____________search regresses over goals and validate a plan before returning it.
Discuss
Answer: (b).backward state space
Q44.
_____________ Procedure selects a flaw in a given plan and looks for a resolver.
Discuss
Answer: (b).the plan space planning
Q45.
Which of the following combination of labels is not allowed for W joint in scene labelling is not allowed?
Discuss
Answer: (d).(←,←,←)
Q46.
If it is possible to extend each pair of consistent variable instantiation to a third variable, a CSP is said to be _________________
Discuss
Answer: (c).path consistent.
Q47.
The __________algorithm explores the domain in a depth first manner.
Discuss
Answer: (a).backtracking
Q48.
_________________ are mathematical problems defined as a set of objects whose state must satisfy a number of constraints or limitations.
Discuss
Answer: (a).constraints satisfaction problems
Q49.
Which of the Following problems can be modeled as CSP?
Discuss
Answer: (d).all of the mentioned
Discuss
Answer: (d).both last in first out and recursion
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