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Welcome to the Expert Systems MCQs Page

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

Expert Systems MCQs | Page 3 of 4

Discuss
Answer: (d).all of the above
Q22.
Which of the following are Informed search algorithms?
Discuss
Answer: (d).both a and b
Q23.
If there is a solution, breadth first search is _______________to find it.
Discuss
Answer: (b).guaranteed
Q24.
Which search strategy is combining the benefits of both BFS and DFS?
Discuss
Answer: (c).iterative deepening depth first search
Q25.
Admissibility of the heuristic function is given as:
Discuss
Answer: (d).h(n)<= h*(n)
Q26.
The efficiency of A* algorithm depends on __________________________.
Discuss
Answer: (b).the quality of heuristic
Discuss
Answer: (a).when no successor of the node has better heuristic value.
Discuss
Answer: (d).all of the above
Q29.
_______________________requires Linear Space but uses backtracking.
Discuss
Answer: (b).recursive best first search (rbfs)
Q30.
Which property asks that the algorithm is locally admissible?
Discuss
Answer: (b).monotonicity
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