IV B.Tech I Semester Regular Examinations, November 2009
ARTIFICIAL INTELLIGENCE
( Common to Computer Science & Engineering and Electronics &
Computer Engineering)
Time: 3 hours Max Marks: 80
Answer any FIVE Questions
All Questions carry equal marks
? ? ? ? ?
1. How do human brains process information? Explain with diagram and also compare
computer and human brain. [10+6]
2. How can the performance of a problem solving algorithm can be measured. Com-
pare and contrast Breadth First search with Depth-First search. [4+12]
3. (a) What is a constraint satisfaction problem?
(b) Solve the following cryptarithmetic problem: [4+12]
S E N D
M O R E
M O N E Y
4. (a) What is a game tree?
(b) Explain one ply, two ply, search and depth of a game tree with diagram.[8+8]
5. (a) Explain, the knowledge level, logical level, and implementation level in a
knowledge-based agent.
(b) What is a horn sentence. Does a polynomial time inference procedure exist
for Horn sentence?
(c) What ontological and epistemological commitments are made by propositional
logic. [6+6+4]
6. Consider the following sentences:
• John likes all kinds of food
• Apples are food
• Chicken is food
• Anything anyone eats and isn’t killed by is food
• Bill eats peanuts and is still alive
• Sue eats everything Bill eats
(a) Translate these sentences into formulas in predicate logic
(b) Convert the formulas into clause form
(c) Use resolution to answer the question, ”What food does Sue. [6+4+6]
7. Let us consider a version of the milk/banana/drill shopping problem
Please purchase PDF Split-Merge on www.verypdf.com1 toof r2emove this watermark.
Code No: N0503/R05 Set No. 1
(a) Let CC denote a credit card that the agent can use to buy any object. Write
the description of Buy so that the agent has to have its credit card in order
to buy any thing.
(b) Write a Pick-Up operator that enables the agent to have an object if it is
portable and at the same location as the agent.
(c) Assume that the credit card is at home, but Have(CC) is initially false. Con-
struct a partially ordered plan that achieves the goal, showing both ordering
constraints and causal links
(d) Explain in detail what happens during the planning process when the agent
explores a partial plan in which it leaves home without the card. [4+4+4+4]
8. (a) Explain the major issues that affect the design of the learning element.
(b) Explain various forms of learning [8+8]
ARTIFICIAL INTELLIGENCE
( Common to Computer Science & Engineering and Electronics &
Computer Engineering)
Time: 3 hours Max Marks: 80
Answer any FIVE Questions
All Questions carry equal marks
? ? ? ? ?
1. How do human brains process information? Explain with diagram and also compare
computer and human brain. [10+6]
2. How can the performance of a problem solving algorithm can be measured. Com-
pare and contrast Breadth First search with Depth-First search. [4+12]
3. (a) What is a constraint satisfaction problem?
(b) Solve the following cryptarithmetic problem: [4+12]
S E N D
M O R E
M O N E Y
4. (a) What is a game tree?
(b) Explain one ply, two ply, search and depth of a game tree with diagram.[8+8]
5. (a) Explain, the knowledge level, logical level, and implementation level in a
knowledge-based agent.
(b) What is a horn sentence. Does a polynomial time inference procedure exist
for Horn sentence?
(c) What ontological and epistemological commitments are made by propositional
logic. [6+6+4]
6. Consider the following sentences:
• John likes all kinds of food
• Apples are food
• Chicken is food
• Anything anyone eats and isn’t killed by is food
• Bill eats peanuts and is still alive
• Sue eats everything Bill eats
(a) Translate these sentences into formulas in predicate logic
(b) Convert the formulas into clause form
(c) Use resolution to answer the question, ”What food does Sue. [6+4+6]
7. Let us consider a version of the milk/banana/drill shopping problem
Please purchase PDF Split-Merge on www.verypdf.com1 toof r2emove this watermark.
Code No: N0503/R05 Set No. 1
(a) Let CC denote a credit card that the agent can use to buy any object. Write
the description of Buy so that the agent has to have its credit card in order
to buy any thing.
(b) Write a Pick-Up operator that enables the agent to have an object if it is
portable and at the same location as the agent.
(c) Assume that the credit card is at home, but Have(CC) is initially false. Con-
struct a partially ordered plan that achieves the goal, showing both ordering
constraints and causal links
(d) Explain in detail what happens during the planning process when the agent
explores a partial plan in which it leaves home without the card. [4+4+4+4]
8. (a) Explain the major issues that affect the design of the learning element.
(b) Explain various forms of learning [8+8]
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