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Previous Year Exam Questions of ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEM of BPUT - AIES by Mudrika Khemka

  • Artificial Intelligence and Expert System - AIES
  • 2019
  • PYQ
  • Biju Patnaik University of Technology Rourkela Odisha - BPUT
  • Master of Computer Applications
  • MCA
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Registration No: Total Number of Pages : 02 MCA MCA501 Semester Regular / Back Examination 20'19-20 ARTI FICIALI NTELLIGENCE &EXPERT SYSTEM BRANCH : MCA Max Marks : 100 Sth Time:3 Hours Q.CODE : HRB003 Answer Question No.1 (Part-1) which is compulsory, any EIGHT from Part-ll and any TWO ) ):i . from The figures in the right hand margin indicate marks. ,,: Q1 a) b) c) d). e) 0 s) Part;lll. Part- l Only Short Answer Type Questions (Answer All-10) What do you mean by local maxima with respect to search technique? List the components of a learning agent. Define Artificial lntelligence in terms of rational acting and rational thinking. : ,i lVlention theā‚¬apabilities a computer should possess to pass Tut'ing Test. Differentiate between Episodic and Non-episodic environments of an agent. Differentiate between blind search and heuristic search. Define a knowledge Base. lVention the three levels in describing a knowledge based (2 x 10) agent. h) i) i) Q2 a) What do you mean by conditional probability? Where and why is it used? Show the objects, properties, functions and relations in the following sentence: THE IVAURYAN KING ASHOKA, SON OF KING BINDUSARA, RULED INDIA 262-238 BC Differentiate between hierarchical and conditional planning with an example. Part- Il Only Focused-Short Answer Type Questions- (Answer Any Eight out of Twelve) (6 x 8) Solve the following Crypt-arithmetic problem: + c) d) BEST [VADE I\/ASER t-t 111,1 b) FROTV Explain the State Space for the 16 tiles Problem. Explain the Best-First-Search Procedure wrth example. Explain about Bayesian Belief Networks. Develop a Bayesian Network for the Burglary alarm. e) f) 9J, h) i) i) k) r) Explain the difference between A* and AO* searching algorithms. Which one is better in terms of optimality? Prove. Explain "Learning by Advice" and "Learning in Problem Solving" citing examples. Explain how the technique of Simulated Annealing overcomes the limitations of Hill Climbing approach? What do you mean by an expert system? Explain the methods for designing an exped system. Also, justify the necessity of using expert systems in our day to day life. Differentiate the DFS and BFS with merits and demerits. Explaln Production Systems and Production Characteristics. Explain lnstance And ls a Relationship with example. Explain why planning is required in Artificial lntelligence? Differentiate between Planning and Learning. Discuss how planning is performed with operators by citing an example.

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Q3 Q4 a)' Part-lll Only Long Answer Type Questions (Answer Any Two out of Four) Discuss about different types of Agent Environments. (16) Consider the.ifollowing 2 player game tree in which static scoresr'bre given from the first (8) ''". player's point of view. Suppose the 1't player is the maximizing player. What move should be chosen? Why? Use [t/ini-max search to solve the problem: {j a73 91&?41 139392e5? L2397 b) Highlight )::: Translate the following sentences in Predicate Logic : a) Every Child loves Santa b) Everyone who loves Santa loves any rcindeer. c) Rudolph js a reindeer and Rudolph has a red d) Anythinij'which has a red nose is a weird or is a clown. e) No reindeer is a clown. Scrooge does not love anything which is weird. Prove by resolution: Scrooge is not a child Q5 8s4 the problems encountered during the search process. Explain the (8) mechanism of alpha- beta pruning and apply the mechanism for the above problem nose. (16) ,.!:j,,:,: ,,:: :, 0 Q6 '': :: What do you mean by a decision tree? Why is it used? [Vention the advantages and dis-advantages of decision trees. Suppose you are the captain of the cricket team of your college ,,and asked to choose the players for your team based on height, experience, age and weight. Cbnstruct a decision tree for the Sarhe. LLit'':: ,.1.a.:':. (16)

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