Artificail intelliegence diploma question

Sub Code: - 1618605A


Time : 3Hrs

  Semester  VI(New)/CSE  

  A.I & E. S        

Full Marks : 70

Pass marks : 28


Group A


Choose the most suitable answer from the following options: -   (1*20=20)

(i) What is artificial intelligence?

(a) Putting your intelligence into computer

(b) Programming with your own intelligence

(c)  Making a machine intelligent

(d) Playing a game

(ii) Which search method takes less memory?

(a) Depth-first search

(b) Breadth-first search

(c) Optimal search

(d) Linear search

(iii) Artificial intelligence has its expansion in the following application.

(a) Planning and scheduling

(b) Game playing

(c) Robotics

(d) All of the above

(iv) A personal consultant knowledge base contain information in the form of:



(c) Production rules

(d) All of the mentioned

(v) External actions of the agent is selected by:

(a) Perceive

(b) Performance

(c) Learning


(vi) What is not represented by using propositional logic?

(a) Objects

(b) Relations

(c) Both objects and relations

(d) None of the mentioned

(vii) Specify the agent architecture name that is used to captured all binds of actions?

(a) Complex

(b) Relational

(c) Hybrid

(d)None of the mentioned

(viii) Fuzzy logic is the form of:

(a) Two-valued logic

(b) Crips-ret logic

(c) Many-valued logic

(d) Binary net logic

(ix) How many logical connectives are there is artificial intelligence?

(a) 2

(b) 3

(c) 4

(d) 5

(x) What is the condition of variables in first order literals?

(a) Existentially quantified

(b) Universally quantified

(c) Both (a) and (b)

(d) None of the mentioned

(xi) How many possible sources of complexity are there in forward chaining?

(a) 1

(b) 2

(c) 3

(d) 4

(xii) Which algorithm will work background from the goal to solve a problem?

(a) Forward chaining

(b) Backward chaining

(c) Hill-climb algorithm

(d) None of the mentioned

(xiii) The major task of NLP includes:

(a) Automatic summarization

(b) Discourse analysis

(c) Machine translation

(d) All of the mentioned

(xiv)Parsing determines parse tree (grammatically analysis) for a given sentence.


(b) False

(c) Both (a) and (b)

(d) None

(xv) Linguistic morphology is the process of reducing infected words to their root from is

(a)  Rooting

(b) Stemming

(c)  Text-proofing

(d) Both (a) and (b) 

(xvi) In LISP, the addition 3+2 is entered as:

(a)  3+2

(b) 3 and 2

(c)  3+2=

(d) (+32)

(xvii) A computer vision technique that reties on image template is:

(a)  Edge detection

(b) Binocular vision

(c)  Model-based vision

(d) Robot vision

(xviii) What is the well known expert system for medical diagnosis

(a)  MYSIN




(xix) The primary interactive method of communication used by humans is:


(b) Writing

(c)  Speaking

(d) All of the mentioned

(xx) The main components of the expert system is:

(a)  Interface engine

(b) Knowledge base

(c)  Both (a) and (b)

(d) None of the mentioned




Answer all Five Questions: -                         (5*4=20) 


2.  What is Strong AI and Weak AI?


Describe the artificial intelligence and world.


3.  Discuss the designing aspects of production system.


Discuss the implementations and limitations of production system.


4. Describe the forward and backward chaining with suitable example. 


Discuss the knowledge representation.


5.  Describe the basic parsing techniques.


Discuss the national language generation.


6. What is vision expert system? Describe its applications. 


Discuss the topic “Human v/s Machine”.


Group:- "C"


Answer all Five Questions: -                         (5*6=30) 


7.  What are the important for state space search? Describe.


Discuss the “AI and knowledge representation with example.


8. Describe the uncertainty and illustrate the fuzzy union, fuzzy interaction and fuzzy complements with suitable example. 


What is logic? Describe the intervene and control.


9.   Describe the following terms:

                        a.          Quantifiers

                        b.          Resolution principle


Describe the goal tress for backward chaining taking a suitable example.


10.  What are the advantages of semantic natural language generation?


How to prepare the data for natural language generation task?


11.  Discuss the developments in demonstration of vision expert system.


What is the difference between “Vision expert system” and “AI”? Explain.




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