Maulana Azad National Urdu University M.Tech I Semester Examination, March 2023
Paper - MTCS121PET : Intelligent System
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9Ü : p 6 ,
Time : 3 hrs Marks : 70
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Intelligent System (i)H ì
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Local Maxima~ ø Ú Æ
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Linguistic Variable~
Fuzzy Set (iii)H
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Semantic Net (iv)H ì
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Soft Computing (v) ,
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Neuron\ M
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Depth Limit Search (vii)Ð M Å \ H
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Blind Search (viii)E Z H w Y
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Rational Agent (x)z
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Block DiagramÃ
Artificial Neural Network (2)Å
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Modus Tollensg Zz
Modus Ponensw ß Z Æ
Inference Rule~ ø Ú Æ
Prepositional Logic (3) 3/1Ð g m B ì b :z ì {
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Task EnvironmentT
Cross-word Puzzle6 , g î Æ w V
(4)(a) Fully Observable, (b) Single-Agent, (c) Deterministic, (d) Sequential, (e) Static and (f) Discrete
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Task Environment¾
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(a) Fully Observable or Partially Observable, (b) Single-Agent or Multi-agent, (c) Deterministic or Nondeterministic, (d) Episodic or Sequential, (e) Static or Dynamic and (f) Discrete or Continuous
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RoleÆ
PEAS~ ð Å
Intelligent Agent (5)Ã w V
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Heuristicq - Z Ë a Æ
8-Puzzle Problem (6)6
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Hill Climbing (7)Optimal
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ConditionsÁ ? ì H
Admissibility Property of Heuristic (8) Y ì
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Fuzzy Inference System= fg Æ
Block Diagram (9)z x Î
Crossover Point, Normally, Support, Core
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Fuzzy Set & Membership Function (10) ,
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Fuzzy Singleton, -cut, strong -cut Given a fuzzy set A = { (x1, 0), (x2, 0.2), (x3, 0.5), (x4, 1), (x5, 1), (x6, 1), (x7, 0.5), (x8, 0.2), (x9, 0) };find Support, Core, Normality, Crossover points, Fuzzy singleton, -cut0.2, strong -cut0.2
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Alpha-Beta Pruningë g Zz ì H í g Ï Z
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Game Theory (11)
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StepsX ,
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Branchñ D w E Z »
Alpha-Beta Pruningì ó ~
Game Tree3/2
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Selectiong Zz
Mutation, CrossoverB Æ
Flow Chart/Pseudo CodeÃ
Genetic Algorithm (12) ,
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DescribePredicate Logic
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Prepositional LogicX , s # z Å
Prepositional and Predicate LogicB Æ w V
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Represent the following sentence using predicate logic (i) Every man respects his parent.
(ii) Some boys play cricket.
(iii) Not all students like both Mathematics and Science.
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Heuristic ValueÅ
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Cost-Effective Path
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StepsX , l /
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