41. Prolog syntax: I. Rules/facts end with ‘.’ II. end with ‘;’ III. Vars start uppercase IV. Vars start lowercase.

Artificial Intelligence • Logic Programming: Prolog • UGC NET Paper 2 Computer Science JUNE 2014

42. Match ML tasks: a=Classification,b=Clustering,c=Feat. Extraction,d=Feat. Selection codes below.

Artificial Intelligence • ML Tasks • UGC NET Paper 2 Computer Science JUNE 2014

43. Perceptron, Delta learning, and LMS learning fall under which category?

Artificial Intelligence • Neural Networks: Learning Rules • UGC NET Paper 2 Computer Science JUNE 2014

44. Which search strategy uses f(N)=g(N)+h(N) and g(N)=0 (i.e., f(N)=h(N))?

Artificial Intelligence • Search Algorithms • UGC NET Paper 2 Computer Science JUNE 2014

45. A software agent is defined as ___.

Artificial Intelligence • Software Agents • UGC NET Paper 2 Computer Science JUNE 2014

46. In data mining, classification rules are extracted from?

Artificial Intelligence • Data Mining • UGC NET Paper 2 Computer Science JUNE 2014

47. Discovery of cross-sales opportunities is called?

Artificial Intelligence • Data Mining • UGC NET Paper 2 Computer Science JUNE 2014

48. Max-product composition of fuzzy R and S yields T. Which matrix is correct?

Artificial Intelligence • Fuzzy Relations • UGC NET Paper 2 Computer Science JUNE 2014

49. Fuzzy-logic machine design steps:

Artificial Intelligence • Fuzzy Systems • UGC NET Paper 2 Computer Science JUNE 2014

50. In α–β pruning on given tree, nodes pruned are ?

Artificial Intelligence • Adversarial search • UGC NET Paper 2 Computer Science JUNE 2014

51. Match AI terms I.SemNet II.Frame III.Declarative IV.Primitive to a.graph b.slot c.declarative/proc d.base facts:

Artificial Intelligence • Knowledge Representation • UGC NET Paper 2 Computer Science JUNE 2014

52. In AI, a semantic network is:

Artificial Intelligence • Knowledge Representation • UGC NET Paper 2 Computer Science JUNE 2014

53. Linearly inseparable 2-input Boolean functions: (a) AND (b) OR (c) NOR (d) XOR (e) XNOR. Which?

Artificial Intelligence • Neural Networks • UGC NET Paper 2 Computer Science JUNE 2014

54. Incremental conceptual clustering method in data mining is?

Artificial Intelligence • Clustering • UGC NET Paper 2 Computer Science JUNE 2014

55. (A) Strategic value of data mining is timestamping; (B) Info collection is expensive in expert systems. Which?

Artificial Intelligence • Expert Systems • UGC NET Paper 2 Computer Science JUNE 2014

56. Fuzzy ints A and B, A+B via μ(z)=max_{x+y=z} min(μA(x),μB(y)). A+B = ?

Artificial Intelligence • Fuzzy arithmetic • UGC NET Paper 2 Computer Science JUNE 2014

57. Fuzzy R and S, T=R∘S max‐min. T = ?

Artificial Intelligence • Fuzzy set operations • UGC NET Paper 2 Computer Science JUNE 2014

58. Perceptron W1=−3.9,W2=1.1,T=0.3. For x1=1.3,x2=2.2 output is ?

Artificial Intelligence • Perceptron • UGC NET Paper 2 Computer Science JUNE 2014

59. Match learning: supervised(i), unsupervised(ii), reinforcement(iii), inductive(iv):

Artificial Intelligence • Learning Paradigms • UGC NET Paper 2 Computer Science JUNE 2014

60. Which is not a clustering method?

Artificial Intelligence • Clustering methods • UGC NET Paper 2 Computer Science JUNE 2014