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Total No. of Pages : 01
Total No. of Questions : 08
M.Tech.(IT) E-IV (2015 & Onwards) (Sem.-3)
M.Tech. (CSE Engg.) EI-I (2015 to 2017)
ADVANCE ARTIFICIAL INTELLIGENCE
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Subject Code : MTCS-306
M.Code: 74156
Time: 3 Hrs.
Max. Marks : 100
INSTRUCTION TO CANDIDATES:
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- Attempt any FIVE questions out of EIGHT questions.
- Each question carries TWENTY marks.
- a) Discuss the concept of Single and multi-agent using example.
b) Compare autonomous versus semi-autonomous. - a) Write a short note on informed search. Discuss the functioning of A* search.
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b) How local search methods are used in finding the solution of constraint satisfaction problem? - a) Explain the principle of Genetic Algorithm by taking suitable example.
b) How Alpha-beta pruning is used in finding the solution in game such as chess? - a) What is preposition logic? Write its equivalence rules for logic formulas.
b) Write a short note on conceptual dependencies. - a) Discuss the knowledge representation using Bayesian networks.
b) Write a short note on decision theory preferences and utility functions. - a) Explain in detail the Agent theory and its architecture.
b) What is the main purpose of Information gathering Agents? - Define :
- Expectimax search
- Hidden Markov Models
- Software Agents
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- Discuss the basic principle of biologically inspired models. How they can be used to solve NP Hard Problems?
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NOTE : Disclosure of Identity by writing Mobile No. or Making of passing request on any page of Answer Sheet will lead to UMC against the Student.
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1| M-74156
(S9)-2147
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