AU MCA Syllabus
(Effective from 2004-05 admitted batch)
AU MCA Syllabus
(Effective from the academic year 2000-2001)
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2.2.4 Artificial Intelligence | Ask a question Print this page |
AU MCA Syllabus
(Effective from 2004-05 admitted batch)
AU MCA Syllabus
(Effective from the academic year 2000-2001)
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2004-05 MODEL PAPER
MCA 2.2.4
ARTIFICIAL INTELLIGENCE
First Question is Compulsory
Answer any four from the remaining
Answer all parts of any Question at one place.
Time: 3 Hrs.
Max. Marks: 100
1. Explain the following terms.
a. Physical symbol system hypothesis
b. Turing test.
c. Heuristic.
d. Computable functions and predicates.
e. Tautalogy.
f. Most General Unifier (MGU)
g. Herbrand Universe
h. Closed World Assumption(CWA)
i. Confidence factors
j. Horn clause
2. a. Explain the characteristics of an AI technique.
b. Explain the role of cognitive science in mo deling human behavior.
3. a. Explain the role of state space approach in solving AI problem.
b. With suitable example explain the characteristics of monotonic and partially commutative production systems.
4. a. Prove each of the following statements:
i. Breadth first search is a special case of uniform cost search.
ii. Breadth first, depth first and uniform cost search are special cases of bestfirst search.
iii. Uniform cost search is a special case of A* search.
b. Explain the role of difference tables in Means – Ends analysis.
5. a. With suitable examples, explain the steps needed to convert a WFF in predicate logic to its equivalent clause form.
b. Explain the operation of unification algorithm.
6. a. Discuss the use of Frames for default reasoning.
b. With suitable examples explain inferential and inheritable knowledge.
7. Discuss different models for nonmonotonic reasoning.
8. Write short notes on.
a. Baye’s rule
b. Scripts.
c. Forward and backward chaining.
d. Dependency directed back tracing.
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