78 + Interview Questions in Uncertain Knowledge And Reasoning in Artificial Intelligence Page 2 InterviewSolution

51.	Where does the degree of belief is applied?(a) Propositions(b) Literals(c) Variables(d) StatementsThe question was asked at a job interview.This interesting question is from Probability Notation in division Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» RIGHT ANSWER is (a) Propositions Explanation: NONE.

Discussion

52.	How the distance between two shapes can be defined?(a) Weighted sum of the shape(b) Size of the shape(c) Shape context(d) None of the mentionedThis question was posed to me in an international level competition.This is a very interesting question from Object Recognition in chapter Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» Correct CHOICE is (a) Weighted SUM of the shape Easiest EXPLANATION: The DISTANCE between two shapes can be defined as a weighted sum of the shape CONTEXT distance between corresponding points.

Discussion

53.	Which describes the coarse arrangement of the rest of the shape with respect to the point?(a) Shape(b) Context(c) Shape context(d) None of the mentionedI had been asked this question in an interview.I want to ask this question from Object Recognition topic in portion Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» RIGHT choice is (c) Shape context For EXPLANATION: Because an object’s shape can be MANIPULATED with RESPECT to the point.

Discussion

54.	Which is the only way to learn about the different kinds of human faces?(a) Perception(b) Speech(c) Learning(d) HearingThe question was posed to me in an interview.Asked question is from Object Recognition in section Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» Correct OPTION is (C) Learning The best EXPLANATION: NONE.

Discussion

55.	Which can be deformed into alignment using simple coordinate transformations?(a) Matching(b) Deformable matching(c) Feature(d) All of the mentionedI got this question in an interview for job.This intriguing question originated from Object Recognition in section Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» Correct ANSWER is (b) Deformable MATCHING The BEST I can explain: The distance between images can be DEFORMED into alignment using SIMPLE coordinate transformations. And it is called as Deformable matching.

Discussion

56.	What can be represented by using histograms or empirical frequency distributions?(a) Words(b) Color(c) Texture(d) Both Color & TextureThis question was posed to me during an interview.My question comes from Object Recognition topic in portion Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» The correct answer is (d) Both COLOR & TEXTURE To explain I would say: Color and texture can be REPRESENTED by using histograms or empirical FREQUENCY distributions.

Discussion

57.	What enables people to recognize people, animals and inanimate objects reliably?(a) Speech(b) Vision(c) Hear(d) PerceptionThe question was asked during an online exam.This intriguing question originated from Object Recognition in portion Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» Right OPTION is (b) VISION Explanation: Vision enables people to RECOGNIZE people, animals and inanimate OBJECTS reliably. It is customary to USE object recognition.

Discussion

58.	Which object recognition process is an error-prone process?(a) Bottom-up segmentation(b) Top-down segmentation(c) Both Bottom-up & Top-down segmentation(d) None of the mentionedI have been asked this question during an online interview.This key question is from Object Recognition in section Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» CORRECT OPTION is (a) Bottom-up segmentation The BEST I can explain: In the process of creating SUBSET of PIXELS, the bottom-up segmentation is an error-prone process.

Discussion

59.	Which are recognized by vision?(a) Objects(b) Activities(c) Motion(d) Both Objects & ActivitiesI have been asked this question in an interview.The query is from Object Recognition in chapter Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» The CORRECT option is (d) Both OBJECTS & ACTIVITIES The EXPLANATION: Vision is used to recognize not only objects, but ALSO activities.

Discussion

60.	Which provides a framework for studying object recognition?(a) Learning(b) Unsupervised learning(c) Supervised learning(d) None of the mentionedThe question was asked in exam.This interesting question is from Object Recognition in division Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» RIGHT answer is (c) SUPERVISED LEARNING The BEST explanation: Supervised learning or pattern classification provides a framework for studying object RECOGNITION.

Discussion

61.	How many types of recognition are there in artificial intelligence?(a) 1(b) 2(c) 3(d) 4This question was posed to me in an interview.My question is from Object Recognition topic in division Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» Correct CHOICE is (c) 3 The explanation: The three types of RECOGNITION are biometric IDENTIFICATION, content-based image RETRIEVAL and HANDWRITING recognition.

Discussion

62.	What kind of interpretation is done by adding context-dependant information?(a) Semantic(b) Syntactic(c) Pragmatic(d) None of the mentionedI have been asked this question in a national level competition.Enquiry is from Semantic Interpretation in chapter Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» CORRECT OPTION is (C) Pragmatic For explanation I would say: NONE.

Discussion

63.	What is meant by quasi-logical form?(a) Sits between syntactic and logical form(b) Logical connectives(c) All of the mentioned(d) None of the mentionedI got this question in quiz.I would like to ask this question from Semantic Interpretation in portion Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» The CORRECT choice is (a) Sits between SYNTACTIC and LOGICAL form Explanation: It can be TRANSLATED into a regular first-order logical sentence, So that it Sits between syntactic and logical form.

Discussion

64.	Which is used to mediate between syntax and semantics?(a) Form(b) Intermediate form(c) Grammer(d) All of the mentionedThis question was posed to me in an interview.My doubt is from Semantic Interpretation in chapter Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» Correct ANSWER is (b) INTERMEDIATE form The BEST I can EXPLAIN: None.

Discussion

65.	How many types of quantification are available in artificial intelligence?(a) 1(b) 2(c) 3(d) 4The question was asked during an internship interview.Origin of the question is Semantic Interpretation topic in section Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» RIGHT answer is (b) 2 To explain I would SAY: There are TWO types of quantification AVAILABLE. They are UNIVERSAL and existential.

Discussion

66.	How many verb tenses are there in the English language?(a) 1(b) 2(c) 3(d) 4This question was posed to me in an online interview.I'd like to ask this question from Semantic Interpretation in division Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» Right option is (c) 3 To explain I WOULD say: There are THREE types of tenses AVAILABLE in english LANGUAGE are past, present and future.

Discussion

67.	What can’t be done in the semantic interpretation?(a) Logical term(b) Complete logical sentence(c) Both Logical term & Complete logical sentence(d) None of the mentionedI have been asked this question during an internship interview.The above asked question is from Semantic Interpretation in chapter Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» The correct answer is (c) Both Logical term & Complete logical SENTENCE The EXPLANATION: Some KIND of sentence in the semantic interpretation can’t be logical term nor a complete logical sentence.

Discussion

68.	What is meant by compositional semantics?(a) Determining the meaning(b) Logical connectives(c) Semantics(d) None of the mentionedI had been asked this question in quiz.My question comes from Semantic Interpretation in section Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» Right option is (a) Determining the meaning Easiest EXPLANATION: Compositional semantics is the PROCESS of determining the meaning of PQ from P, Q and .

Discussion

69.	What is used to augment a grammar for arithmetic expression with semantics?(a) Notation(b) DCG notation(c) Constituent(d) All of the mentionedThe question was asked in an online quiz.My question is taken from Semantic Interpretation in division Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» Correct answer is (b) DCG NOTATION Easy explanation: DCG notation is USED to augment a grammar for arithmetic expression with semantics and it is used to BUILD a parse TREE.

Discussion

70.	What is the process of associating a FOL expression with a phrase?(a) Interpretation(b) Augmented reality(c) Semantic interpretation(d) Augmented interpretationI had been asked this question in homework.The doubt is from Semantic Interpretation in division Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» The correct choice is (c) Semantic INTERPRETATION Easy EXPLANATION: Semantic interpretation is the PROCESS of ASSOCIATING a FOL expression with a phrase.

Discussion

71.	What is the extraction of the meaning of utterance?(a) Syntactic(b) Semantic(c) Pragmatic(d) None of the mentionedThe question was posed to me in examination.I'm obligated to ask this question of Semantic Interpretation in section Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» Right ANSWER is (b) Semantic For EXPLANATION I WOULD say: Semantic ANALYSIS is used to extract the meaning from the group of SENTENCES.

Discussion

72.	Which is true for Decision theory?(a) Decision Theory = Probability theory + utility theory(b) Decision Theory = Inference theory + utility theory(c) Decision Theory = Uncertainty + utility theory(d) Decision Theory = Probability theory + preferenceI got this question in an internship interview.I'd like to ask this question from Uncertain Knowledge and Reasoning topic in section Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» The correct choice is (c) Decision Theory = Uncertainty + utility theory The best explanation: The Wumpus world is a GRID of squares surrounded by walls, where each square can contain agents and OBJECTS. The agent (you) always STARTS in the lower left corner, a square that will be labeled [1, 1]. The agent’s task is to find the gold, return to [1, 1] and climb out of the cave. So uncertainty is there as the agent GIVES partial and local information only. Global variable are not goal specific problem solving.

Discussion

73.	The primitives in probabilistic reasoning are random variables.(a) True(b) FalseThe question was asked in an online quiz.Origin of the question is Uncertain Knowledge and Reasoning in chapter Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» Correct choice is (a) True To elaborate: The PRIMITIVES in probabilistic reasoning are random variables. Just like primitives in PROPOSITIONAL LOGIC are PROPOSITIONS. A random variable is not in fact a variable, but a function from a sample space S to another space, OFTEN the real numbers.

Discussion

74.	If a hypothesis says it should be positive, but in fact it is negative, we call it ___________(a) A consistent hypothesis(b) A false negative hypothesis(c) A false positive hypothesis(d) A specialized hypothesisThe question was posed to me in my homework.I want to ask this question from Uncertain Knowledge and Reasoning in portion Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» Right choice is (c) A false positive hypothesis Easiest explanation: Consistent hypothesis GO with examples, If the hypothesis says it should be negative but in FACT it is positive, it is false negative. If a hypothesis says it should be positive, but in fact it is negative, it is false positive. In a specialized hypothesis we NEED to have CERTAIN restrict or special CONDITIONS.

Discussion

75.	A Hybrid Bayesian network contains ___________(a) Both discrete and continuous variables(b) Only Discrete variables(c) Only Discontinuous variable(d) Both Discrete and Discontinuous variableI had been asked this question by my college director while I was bunking the class.I'd like to ask this question from Uncertain Knowledge and Reasoning in chapter Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» Correct option is (a) Both discrete and CONTINUOUS VARIABLES Best explanation: To specify a Hybrid network, we have to specify two new kinds of DISTRIBUTIONS: the CONDITIONAL distribution for continuous variables given discrete or continuous parents, and the conditional distribution for a discrete variable given continuous parents.

Discussion

76.	How is Fuzzy Logic different from conventional control methods?(a) IF and THEN Approach(b) FOR Approach(c) WHILE Approach(d) DO ApproachI got this question by my school teacher while I was bunking the class.My question is from Uncertain Knowledge and Reasoning in section Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» The CORRECT choice is (a) IF and THEN Approach Explanation: FL incorporates a simple, rule-based IF X AND Y THEN Z approach to a solving control problem rather than ATTEMPTING to model a SYSTEM MATHEMATICALLY.

Discussion

77.	Uncertainty arises in the wumpus world because the agent’s sensors give only ___________(a) Full & Global information(b) Partial & Global Information(c) Partial & local Information(d) Full & local informationThe question was posed to me in an international level competition.I need to ask this question from Uncertain Knowledge and Reasoning in chapter Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» Correct ANSWER is (c) Partial & LOCAL Information Best explanation: The Wumpus world is a grid of SQUARES surrounded by walls, where each square can contain agents and objects. The agent (you) always starts in the lower left corner, a square that will be labeled [1, 1]. The agent’s task is to find the GOLD, return to [1, 1] and CLIMB out of the cave. So uncertainty is there as the agent gives partial and local information only. Global variable are not goal specific problem solving.

Discussion

78.	Using logic to represent and reason we can represent knowledge about the world with facts and rules.(a) True(b) FalseI got this question in a national level competition.This intriguing question originated from Uncertain Knowledge and Reasoning in portion Uncertain Knowledge and Reasoning of Artificial Intelligence
Answer» The CORRECT ANSWER is (a) True Easy EXPLANATION: NONE.

Discussion

Explore topic-wise InterviewSolutions in .

Where does the degree of belief is applied?(a) Propositions(b) Literals(c) Variables(d) StatementsThe question was asked at a job interview.This interesting question is from Probability Notation in division Uncertain Knowledge and Reasoning of Artificial Intelligence

Which is the only way to learn about the different kinds of human faces?(a) Perception(b) Speech(c) Learning(d) HearingThe question was posed to me in an interview.Asked question is from Object Recognition in section Uncertain Knowledge and Reasoning of Artificial Intelligence

What enables people to recognize people, animals and inanimate objects reliably?(a) Speech(b) Vision(c) Hear(d) PerceptionThe question was asked during an online exam.This intriguing question originated from Object Recognition in portion Uncertain Knowledge and Reasoning of Artificial Intelligence

Which are recognized by vision?(a) Objects(b) Activities(c) Motion(d) Both Objects & ActivitiesI have been asked this question in an interview.The query is from Object Recognition in chapter Uncertain Knowledge and Reasoning of Artificial Intelligence

How many types of recognition are there in artificial intelligence?(a) 1(b) 2(c) 3(d) 4This question was posed to me in an interview.My question is from Object Recognition topic in division Uncertain Knowledge and Reasoning of Artificial Intelligence

Which is used to mediate between syntax and semantics?(a) Form(b) Intermediate form(c) Grammer(d) All of the mentionedThis question was posed to me in an interview.My doubt is from Semantic Interpretation in chapter Uncertain Knowledge and Reasoning of Artificial Intelligence

How many types of quantification are available in artificial intelligence?(a) 1(b) 2(c) 3(d) 4The question was asked during an internship interview.Origin of the question is Semantic Interpretation topic in section Uncertain Knowledge and Reasoning of Artificial Intelligence

How many verb tenses are there in the English language?(a) 1(b) 2(c) 3(d) 4This question was posed to me in an online interview.I'd like to ask this question from Semantic Interpretation in division Uncertain Knowledge and Reasoning of Artificial Intelligence

What is meant by compositional semantics?(a) Determining the meaning(b) Logical connectives(c) Semantics(d) None of the mentionedI had been asked this question in quiz.My question comes from Semantic Interpretation in section Uncertain Knowledge and Reasoning of Artificial Intelligence

What is the extraction of the meaning of utterance?(a) Syntactic(b) Semantic(c) Pragmatic(d) None of the mentionedThe question was posed to me in examination.I'm obligated to ask this question of Semantic Interpretation in section Uncertain Knowledge and Reasoning of Artificial Intelligence

The primitives in probabilistic reasoning are random variables.(a) True(b) FalseThe question was asked in an online quiz.Origin of the question is Uncertain Knowledge and Reasoning in chapter Uncertain Knowledge and Reasoning of Artificial Intelligence