Engineering BE Computer Engineering Sem 7 December 2019 2019 Artificial Intelligence Question Paper - Mumbai University | munotes

Questions asked in this paper

1. Q1 Attempt any three (3) from the remaining questions
2. Q1 Attempt any four (4) questions from the following 20 marks
   • (a) Give PEAS description for a Personal Assistant in Smartphone Characterize its environment
   • (b) Give the initial state, goal test, successor function, and cost function for an “N
   • (c) Draw and explain architecture of Utility Based Agent
   • (d) Define Turing test and explain its significance in AI
   • (e) What are universal and existential quantifiers? Illustrate its usage in predicate logic with a suitable example
3. Q2 (a) Explain termination conditions in a decision tree learning algorithm with an [6+2+2] example for each condition. What are decision rules? How to use it for
   • (b) Consider the following sentences: Anyone passing his history exams and winning a lottery is happy. But anyone who studies or is lucky can pass all his exams. John did not study but he is lucky. Anyone who is lucky wins the lottery Answer “Is John happy?” using proof by resolution 10
4. Q3 (a) Design a suitable planning agent for cleaning the kitchen. Give any 2 STRIPS style operators that might be used. When designing the operators take into account considerations such as --- Cleaning the stove or refrigerator will get the floor dirty 10 marks
   • (b) Explain the Bayesian Belief Networks (BBN) with a suitable example. What types of inferences can be drawn from such networks? 10
5. Q4 (a) Define heuristics. Give a suitable heuristic function to solve a tic-tac-toe problem in AI. Illustrate its application to any state of a tic-tac-toe problem 6 marks
6. Q4 (b) Write a pseudo code for alpha-beta algorithm. Consider a section of min-max tree shown in Figure 1. Is there any Beta Cut Off possible? If possible, Where [4+2+4]
   • (c) What are the frustrations that occur in hill climbing algorithm? 4
7. Q5 (a) Explain how Genetic algorithms work with a suitable example? Define the terms chromosome, fitness function, crossover and mutation for the same 10 marks
   • (b) Consider the graph given in Figure 2 below. Assume that the initial state is S and the goal state is G. Show how A* Search would create a search tree to find a path from the initial state to the goal state Assuming the straight-line distance as the heuristics function: h(S)=4, h(A)=2, 10
8. Q6 Answer any two (2) of the following 20 marks
   • (a) How would you differentiate between Expert System and just an AI program? Draw and illustrate expert systems architecture. Use an example to support
   • (b) What are steps involved in natural language processing (NLP) of an English sentence? Explain with an example sentence. Briefly explain any one application of NLP
   • (c) Write a short note on simulated annealing

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