| 41. |
Which of the following is true related to ‘Satisfiable’ property?
| (a) |
A statement is satisfiable if there is some interpretation for which it is false |
| (b) |
A statement is satisfiable if there is some interpretation for which it is true |
| (c) |
A statement is satisfiable if there is no interpretation for which it is true |
| (d) |
A statement is satisfiable if there is no interpretation for which it is false |
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Answer : (b)
Reason : ‘Satisfiable’ property is a statement is satisfiable if there is some interpretation for which it is true.
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| 42. |
Two literals are complementary if
| (a) |
They are equal |
| (b) |
They are identical and of equal sign |
| (c) |
They are identical but of opposite sign |
| (d) |
They are unequal but of equal sign |
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Answer : (c)
Reason : Two literals are complementary if They are identical but of opposite sign.
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| 43. |
Consider a good system for the representation of knowledge in a particular domain. What property should it possess?
| (a) |
Representational Adequacy |
| (b) |
Inferential Adequacy |
| (c) |
Inferential Efficiency |
| (d) |
Acquisitional Efficiency |
| (e) |
All the above.
Answer : (e)
Reason : Consider a good system for the representation of knowledge in a particular domain. The properties should be Representational Adequacy,Inferential Adequacy,Inferential Efficiency and Acquisitional Efficiency
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| 44. |
What is Transposition rule?
| (a) |
From P → Q, infer ~Q → P |
| (b) |
From P → Q, infer Q → ~P |
| (c) |
From P → Q, infer Q → P |
| (d) |
From P → Q, infer ~Q → ~P |
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Answer : (d)
Reason : Transposition rule- From P → Q, infer ~Q → ~P
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| 45. |
Third component of a planning system is to
| (a) |
Detect when a solution has been found |
| (b) |
Detect when solution will be found |
| (c) |
Detect whether solution exists or not |
| (d) |
Detect whether multiple solutions exist |
|
Answer : (a)
Reason : Third component of a planning system is to detect when a solution has been found.
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| 46. |
Which of the following is true in Statistical reasoning?
| (a) |
The representation is extended to allow some kind of numeric measure of certainty to be associated with each statement |
| (b) |
The representation is extended to allow ‘TRUE or FALSE’ to be associated with each statement |
| (c) |
The representation is extended to allow some kind of numeric measure of certainty to be associated common to all statements |
| (d) |
The representation is extended to allow ‘TRUE or FALSE’ to be associated common to all statements |
|
None of the above.
| Answer : (a)
Reason : Statistical reasoning is the representation is extended to allow some kind of numeric measure of certainty to be associated with each statement.
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| 47. |
In default logic, we allow inference rules of the form
| (a) |
(A : B) / C |
| (b) |
A / (B : C) |
| (c) |
A / B |
| (d) |
A / B : C |
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Answer : (a)
Reason : In default logic, we allow inference rules of the form:(A : B) / C
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| 48. |
In Baye’s theorem, what is the meant by P(Hi|E)?
| (a) |
The probability that hypotheses Hi is true given evidence E |
| (b) |
The probability that hypotheses Hi is false given evidence E |
| (c) |
The probability that hypotheses Hi is true given false evidence E |
| (d) |
The probability that hypotheses Hi is false given false evidence E |
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Answer : (a)
Reason : In Baye’s theorem, P(Hi|E) is the probability that hypotheses Hi is true given evidence E.
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| 49. |
Default reasoning is another type of
| (a) |
Monotonic reasoning |
| (b) |
Analogical reasoning |
| (c) |
Bitonic reasoning |
| (d) |
Non-monotonic reasoning |
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Answer : (d)
Reason : Default reasoning is another type of non-monotonic reasoning
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| 50. |
Generality is the measure of
| (a) |
Ease with which the method can be adapted to different domains of application |
| (b) |
The average time required to construct the target knowledge structures from some specified initial structures |
| (c) |
A learning system to function with unreliable feedback and with a variety of training examples |
| (d) |
The overall power of the system |
|
Answer : (a)
Reason : Generality is the measure of ease with which the method can be adapted to different domains of application.
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