The document is an exam for an Artificial Intelligence course that contains 8 questions covering various topics: 1) It asks students to explain the utility-based agent model with a diagram and describe properties of the environment. 2) Questions cover heuristic functions, the differences between breadth-first and depth-first search, and explaining A* search. 3) Other topics include simulated annealing search, genetic algorithms, and the MinMax algorithm. 4) Planning with state-space search and partial planning algorithms are also addressed. 5) The final questions concern inductive learning, classical planning problems, and neural networks.

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JNTUW
ORLD
Code No: A0610
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD
M.Tech I Semester Regular Examinations March/April 2010
ARTIFICIAL INTELLIGENCE
(DIGITAL SYSTEMS AND COMPUTER ELECTRONICS)
Time: 3hours Max.Marks:60
Answer any five questions
All questions carry equal marks
- - -
1. a) Explain the utility-based agent with a neat diagram.
b) Give a brief account on the properties of the environment.
2. a) Define Heurestic Function.
b) Clearly bring out the difference between Breadth first search and depth first
search.
c) Briefly explain A* search.
3. a) Briefly explain simulated Annealing search.
b) Write short notes on genetical algorithms.
4. Explain MinMax algorithm with an example.
5. a) Give a brief account on Knowledge-Based agents.
b) Briefly explain planning with state-space search.
6. a) Explain partial planning Algorithm with an example.
b) Write short notes on Forward states space search.
7. Write notes on Inductive learning and learning with complex data.
8. Write short notes on;
a) Classical Planning problem.
b) Neural Networks.
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NR
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