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2003 Course Artificial Intelligence

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Total No. of Questions : 12] P1348 [Total No. of Pages : 3 [3664] - 224 B.E. (Electronics) ARTIFICIAL INTELLIGENCE (2003 Course) Time : 3 Hours] [Max. Marks : 100 Instructions to the candidates : 1) Answers to the two sections should be written in separate books. 2) Neat diagrams must be drawn wherever necessary. 3) Figures to the right indicate full marks. 4) Use of logarithmic tables, slide rule, Mollier charts, electronic pocket calculator and steam tables is allowed. 5) Assume suitable data, if necessary. SECTION - I Q1) a) b) Discuss various definitions of artificial intelligence (AI). What are various applications of AI. [8] Compare Depth First and Best First Search methods. [8] OR Q2) a) Explain A* algorithm with an example. [8] b) What are weak search methods? [4] c) Explain the following terms: [4] i) Q3) a) Depth limit. ii) Search tree. Write notes on Waiting for Quiescence, Alpha-Beta cut-offs and Secondary search. [8] b) Explain Minimax algorithm using an example. [8] c) Explain the Unification algorithm. [4] OR Q4) a) Write a set of logical predicates that will perform simple automobile diagnostics (eg., if the engine won't turn over and the lights won't come on, then the battery is bad). Don't try to be too elaborate, but cover the cases of bad battery, out of gas, bad spark plugs and bad starter motor.[8] b) Explain ISA hierarchy. [4] c) Enumerate the issues in Knowledge Representation. [4] d) What are the challenges faced by Minimax algorithm? [4] P.T.O. Q5) a) b) What is the theory of Fuzzy logic? [4] Consider the problem of deciding which place to be visited. i) If summer Mount Abu. ii) If winter Jodhpur. iii) If rainy Shimla. iv) If spring Nainital. v) It is winter. Build the TMS style database of necessary facts to solve this problem.[8] c) Explain semantic nets with its disadvantages. [4] OR Q6) a) Explain how scripts can be used for knowledge representation. Write a script of setting a drama. [8] b) What is meant by non-monotonic reasoning? Differentiate between statistical reasoning and probabilistic reasoning. [8] SECTION - II Q7) a) b) Explain Blocks World Problem with an example. [8] Describe least commitment approach using an example. [8] OR Q8) a) b) Q9) a) b) Give algorithm for TWEAK and STRIPS. [8] Describe various Planning methods. [8] Discuss Waltz algorithm. [8] Explain types of Neural Network architectures. [8] OR Q10)a) b) Explain the ANN for Pattern recognition. [8] Write short note on: [8] i) ii) Q11)a) Action. Vision. Discuss the architecture of Expert systems. [3664] - 224 2 [8] b) Parse each of these sentences using Top-down as well Bottom-up approach[8] i) Mary watered the plants. ii) The brown dog ate the bone. OR Q12)a) Write short note on Finite state machine. [4] b) Generate an expert system for two-wheeler servicing. [8] c) Discuss Parsing qualities. [4] Y [3664] - 224 3

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