Download AKTU B-Tech 8th Sem 2016-17 ECS801 Artificial Intelligence Question Paper

Download AKTU (Dr. A.P.J. Abdul Kalam Technical University (AKTU), formerly Uttar Pradesh Technical University (UPTU) B-Tech 8th Semester (Eight Semester) 2016-17 ECS801 Artificial Intelligence Question Paper

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B.TECH.
THEORY EXAMINATION (SEM?VIII) 2016-17
ARTIFICIAL INTELLIGENCE
T ime : 3 Hours Max. Marks : 100
Note .' Be precise in your answer. In case ofnumericalproblem assume data wherever not provided.
SECTION ? A
1. Explain the following: 10 x 2 = 20
(a) Explain the term Artificial Intelligence.
(b) Describe the role of Computer Vision in Artificial Intelligence.
(c) What do you mean by Agent Program? How do you assure that an agent program is an
Intelligent Agent Program?
(d) Discuss the role of Machine Intelligence in game playing.
(e) What is Modus Pones Rule in Prepositional Logic?
(1) What is Turing Test?
(g) Write short note on state of the art of Artificial Intelligence.
(h) What is Pattern Recognition?
(i) Discuss Supervised & Unsupervised learning.
(j) Describe the role of Artificial Intelligence in Natural Language Processing.
SECTION ? B
2. Attempt any ?ve parts of the following questions: 5 x 10 = 50
(a) What is Production System? Explain the various types of production system.
(b) What is Probabilistic Reasoning? Also describe the role HMM in probabilistic
reasoning.
(c) What is Clustering? Describe K?Means Clustering Algorithm.
(d) Explain Learning with complete data i.e. Naive Bayes Model and learning with hidden
data i.e. EM algorithm.
(e) Describe A* Search Technique. Prove that A* is complete and optimal.
(f) Derive the expressions for time and space complexity of Breadth?First and Depth-First
Search strategies.
(g) Determine whether the following argument is valid: ?If I work whole night on this
problem, then I can solve it. If I solve the problem, then I will understand the topic.
Therefore, I will work whole night on this problem, then I will understand the topic".
(h) Describe Bayesian Network technique of Knowledge Representation. How does it
useful in representing uncertainty knowledge?
SECTION ? C
Attempt any two parts of the following questions: 2 x 15 = 30
3 Explain how PCA is used in Pattern Recognition. Describe Parameter Estimation
methods in Pattern Recognition.
4 Translate the following sentences into formulas in Predicate Logic and Clausal
Form:
(i) John likes all kind of food. (iV) Bill eats peanuts and is still alive.
(ii) Apples are food. (V) Sue eats everything Bill eats.
(iii) Chicken is food.
(Vi) Anything any one eats and is not killed by is food.
5 Write short notes on following:
i. Linear Discriminant Analysis
ii. Support Vector Machine
iii. Game Search
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This post was last modified on 30 January 2020