BIM (TU) Question Paper 2014 – Artificial Intelligence | Fifth Semester
Tribhuvan University | Faculty of Management
BIM / Fifth Semester / ITC 223: Artificial Intelligence
Year: 2014 (2071)
Full Marks: 40 | Time: 2 Hrs
Candidates are required to answer all the questions in their own words as far as practicable.
Group ?A? ? 1. Brief Answer Questions: [10 X 1 = 10]
a. What does cognitive approach resemble in AI?
b. What is rational agent?
c. What are the problems in hill climbing search?
d. Write Modus Ponens rule.
e. Differentiate omniscience and artificial intelligence.
f. List the parameters of NLP.
g. What do you mean by dynamic environment?
h. What is the use of sensor?
i. Define Disjunctive Normal Form (DNF).
j. What is the theme of monkey banana problem?
Group ?B? ? Short Answer Questions: [5 X 3 = 15]
2. Describe the concept of Hebbian learning.
3. Consider the following statements
i. Everyone who loves all animals is loved by someone.
ii. Jack loves all animals.
Convert the above statements into first predicate logic and using different inferences rules prove that Jack is loved by someone.
4. What is the concept behind Turing Test? Explain artificial intelligence from Acting Humanly perspective?
5. Define constraint satisfaction problem? Solve the following using crypto-arithmetic.
WRONG
+ WRONG
———————
RIGHT
6. What do you mean by machine vision? Explain its application areas and Machine vision stage briefly.
Group ?C? ? Long Answer Questions: [3 X 5 = 15]
7. What is Artificial Neural Network? Point out some practical difficulties associated with ANN to implement it on a agent easily. Explain Mc-Colloch-Pit neuron model and realize AND and OR with ANN.
8. What are the difference between game search and other search techniques? Explains MIN Max search algorithm with the concept of alpha-beta pruning.
9. Why understanding of environment is necessary of an agent to perform well? Give the PEAS description for the agents for a medical diagnosis system that can diagnosis a patient as an expert doctor.
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