Welcome to the Artificial Intelligence MCQs Page
Dive deep into the fascinating world of Artificial Intelligence with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Artificial Intelligence, a crucial aspect of UGC CBSE NET Exam. In this section, you will encounter a diverse range of MCQs that cover various aspects of Artificial Intelligence, 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 UGC CBSE NET Exam.
Check out the MCQs below to embark on an enriching journey through Artificial Intelligence. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of UGC CBSE NET Exam.
Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Artificial Intelligence. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!
Artificial Intelligence MCQs | Page 1 of 12
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a. Supervised learning 1. The decision system receives
rewards for its action at the
end of a sequence of steps.
b. Unsupervised learning 2. Manual labels of inputs are
not used.
c. Reinforcement learning 3. Manual labels of inputs are used.
d. Inductive learning 4. System learns by example
Codes :
a b c d
SEND
+ MORE
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MONEY
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Can be solved efficiently using
a. Forward movement i. variable can be done with a constant another variable or a function
b. Unification ii. the entire conjunctive goal is executed
c. deep back tracking iii. Previous sub goal to find alternative solutions
d. Shallow backtracking iv. Chooses sub goal with possible unifier
codes:
a b c d
a. Script i. Directed graph with labelled nodes for graphical representation of knowledge
b. Conceptual Dependencies ii. Knowledge about objects and events is stored in record-like structures consisting of slots and slot values.
c. Frames iii. Primitive concepts and rules to represent natural language statements
d. Associative Network iv. Frame like structures used to represent stereotypical patterns for commonly occurring events in terms of actors, roles, props and scenes
code:
a b c d
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