JNTU
JNTU B.Tech III ARTIFICIAL INTELLIGENCE Previous Question Paper (July - 2023 - R16)
Part A is compulsory (25 marks). Part B (50 marks): Answer any one question from each unit (10 marks each).
Part A
List the fields that form the basis for AI.
Answer
The fields that form the basis for Artificial Intelligence include Philosophy (logic and methods of reasoning), Mathematics (formal representation, probability, and algorithms), Psychology (understanding human cognition and behavior), Computer Engineering (hardware and architecture), Control Theory (feedback systems), Linguistics (syntax and semantics), and Economics (decision theory and utility).
Define alpha and beta values in a game tree.
Answer
In the context of the Alpha-Beta Pruning algorithm used for game tree search, Alpha (α) and Beta (β) represent the bounds on the possible values that the nodes can take, allowing the algorithm to prune branches that do not influence the final decision.
Alpha (α) is the best value that the Maximizer currently can guarantee at that level or above. It is initialized to negative infinity and increases as the search progresses.
Beta (β) is the best value that the Minimizer currently can guarantee at that level or above. It is initialized to positive infinity and decreases as the search progresses.
Pruning occurs when α ≥ β, as this indicates that the current path will not be chosen by the opponent, making further exploration of that subtree unnecessary.
How do frames differ from semantic nets?
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Differentiate prepositional and predicate logic.
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List the characteristic features of an expert system.
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What is Knowledge Acquisition?
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Define training and testing data.
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What are the types of problems in which Artificial Neural Network can be applied?
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What is n-gram language model?
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What are the objectives of NLP?
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Part B
What is A* search? Explain various stages of A* search with an example.
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Bounded Look-ahead Strategy
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Alpha-Beta Pruning.
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Consider the following facts and represent them in predicate form: F1. There are 500 employees in ABC company. F2. Employees earning more than Rs. 5000 pay tax. F3. John is a manager in ABC company. F4. Manager earns Rs. 10,000. Convert the facts in predicate form to clauses and then prove by resolution: “John pays tax”.
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Explain resolution in predicate logic with suitable example.
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Describe in detail about Expert System Architecture.
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Differentiate between Expert Systems and Traditional Systems.
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What are the application of Expert Systems? Explain.
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State the mathematical formulation of the SVM problem. Give an outline of the method for solving the problem.
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| A | B | C | D | E | F | |
| A | 0 | |||||
| B | 0.12 | 0 | ||||
| C | 0.51 | 0.25 | 0 | |||
| D | 0.84 | 0.16 | 0.14 | 0 | ||
| E | 0.28 | 0.77 | 0.70 | 0.45 | 0 | |
| F | 0.34 | 0.61 | 0.93 | 0.2 | 0.7 | 0 |
Show the final result of hierarchical clustering with complete link by drawing a dendrogram.
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Give the five logical connectives used to construct complex sentences and give the formal grammar of propositional logic.
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Explain in detail the following:
Semantic Analysis
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Universal Networking Knowledge.
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