Deck 13: Artificial Intelligence

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Question
Which of the following is a knowledge representation technique that represents the relationships among objects?

A) Neural network
B) Semantic network
C) Search tree
D) Expert system
E) Natural language processing
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Question
Which of the following describes the equality of two systems based solely on their results?

A) Strong equivalence
B) Weak equivalence
C) Turing equivalence
D) Expert equivalence
E) Novice equivalence
Question
Which of the following is the plot of the frequency changes that occur when a human says a particular word?

A) Natural language
B) Voice recognition
C) Voice synthesis
D) Voiceprint
E) Phonemes
Question
Which of the following is the area of study dealing with a computer's ability to interpret and respond to human speech?

A) Neural network
B) Semantic network
C) Search tree
D) Expert system
E) Natural language processing
Question
Computers can recognize faces quickly and easily.
Question
A semantic network is a representation of the relationships among objects.
Question
A semantic network cannot represent the relationships among objects.
Question
The human brain contains billions of neurons connected into a network.
Question
A low effective weight simulates an inhibited biological neuron.
Question
Natural languages are those that humans use to communicate, such as English or Arabic.
Question
Words that have multiple meanings can create a(n) _______________ ambiguity.
Question
A program designed to carry on a conversation about a particular topic with a human is called a(n) _______________.
Question
The _______________ is the part of an expert system that processes the rules and draws conclusions.
Question
An artificial _______________ is a computer representation of knowledge that attempts to mimic the way the human nervous system processes electrochemical signals.
Question
Robots that move and interact with their environment are known as _______________ robots.
Question
What is a rule-based system?
Question
What are the three most common systems on which robots move?
Question
What does it mean if a computer passes a Turing test showing weak equivalence?
Question
Which of the following mimics the process of the human brain?

A) Neural network
B) Semantic network
C) Search tree
D) Expert system
E) Natural-language processing
Question
Which of the following represents all possible moves of a game?

A) Neural network
B) Semantic network
C) Search tree
D) Expert system
E) Natural -language processing
Question
Which of the following describes a language, like English, that humans use to communicate with each other?

A) Natural language
B) Voice recognition
C) Voice synthesis
D) Voiceprint
E) Phonemes
Question
Which of the following can occur with the use of pronouns?

A) Syntactic ambiguity
B) Weak equivalence
C) Lexical ambiguity
D) Referential ambiguity
E) Strong equivalence
Question
Which of the following is not one of the three most common systems used to allow a mobile robot to move?

A) Wheels
B) Wings
C) Tracks
D) Legs
Question
Computers can perform arithmetic calculations quickly and easily.
Question
A computer that passes the Turing test would demonstrate weak equivalence.
Question
Strong equivalence in a Turing test means that the human and computer are equivalent in results, but they do not necessarily arrive at the results the same way.
Question
Herbert A. Simon, one of the earliest pioneers in artificial intelligence, was a "renaissance man" with interests in computer science, psychology, and philosophy; a Ph.D. in political science; a Nobel Prize in economics; and a Turing Award.
Question
The kind of problem we are trying to solve may dictate the structure we impose on the data.
Question
An expert system is software based on the knowledge of human experts in a particular domain.
Question
A high effective weight simulates an inhibited biological neuron.
Question
Lexical ambiguity can occur when words have multiple meanings.
Question
Robots that do not move, such as those found on an assembly line, are called fixed robots.
Question
Which of the following describes the equality of two systems based on the results and the process by which they were determined?

A) Strong equivalence
B) Weak equivalence
C) Turing equivalence
D) Expert equivalence
E) Novice equivalence
Question
Which of the following describes the process of determining the words that are spoken by a human?

A) Natural language
B) Voice recognition
C) Voice synthesis
D) Voiceprint
E) Phonemes
Question
Which of the following can occur when a word has more than one meaning?

A) Referential ambiguity
B) Lexical ambiguity
C) Syntactic ambiguity
D) Voice ambiguity
E) Synthesized ambiguity
Question
Alan Turing wrote a landmark paper in which he concluded that we would eventually be able to create a computer that thinks.
Question
There are essentially no restrictions on the types of relationships between pairs of objects that can be modeled in a semantic network.
Question
A neural network is the part of an expert system that determines how the rules are followed and what conclusions can be drawn.
Question
An artificial neural network in a computer is designed to mimic the neural networks of the human body.
Question
Voice recognition is the process of determining the meaning of the words spoken by a human.
Question
If using a subsumption architecture, a robot attempts to model the entire world.
Question
Many Internet companies that have gone public had never made a profit before their IPO and were not likely to in the near future; they had existed on venture capital.
Question
A(n) _______________ is a structure that represents all possible moves in a game and can be used to determine the next best move.
Question
In an artificial neuron, the _______________ is computed by summing the input values multiplied by their respective weights.
Question
_______________ is the process of applying a meaningful interpretation to human communication.
Question
Rules in an expert system that can be used to draw a conclusion take the form of a(n) ________________ statement.
Question
What are two basic approaches to solving the voice synthesis problem?
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Deck 13: Artificial Intelligence
1
Which of the following is a knowledge representation technique that represents the relationships among objects?

A) Neural network
B) Semantic network
C) Search tree
D) Expert system
E) Natural language processing
B
2
Which of the following describes the equality of two systems based solely on their results?

A) Strong equivalence
B) Weak equivalence
C) Turing equivalence
D) Expert equivalence
E) Novice equivalence
B
3
Which of the following is the plot of the frequency changes that occur when a human says a particular word?

A) Natural language
B) Voice recognition
C) Voice synthesis
D) Voiceprint
E) Phonemes
D
4
Which of the following is the area of study dealing with a computer's ability to interpret and respond to human speech?

A) Neural network
B) Semantic network
C) Search tree
D) Expert system
E) Natural language processing
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5
Computers can recognize faces quickly and easily.
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6
A semantic network is a representation of the relationships among objects.
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7
A semantic network cannot represent the relationships among objects.
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8
The human brain contains billions of neurons connected into a network.
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9
A low effective weight simulates an inhibited biological neuron.
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10
Natural languages are those that humans use to communicate, such as English or Arabic.
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11
Words that have multiple meanings can create a(n) _______________ ambiguity.
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12
A program designed to carry on a conversation about a particular topic with a human is called a(n) _______________.
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13
The _______________ is the part of an expert system that processes the rules and draws conclusions.
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14
An artificial _______________ is a computer representation of knowledge that attempts to mimic the way the human nervous system processes electrochemical signals.
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15
Robots that move and interact with their environment are known as _______________ robots.
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16
What is a rule-based system?
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17
What are the three most common systems on which robots move?
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18
What does it mean if a computer passes a Turing test showing weak equivalence?
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19
Which of the following mimics the process of the human brain?

A) Neural network
B) Semantic network
C) Search tree
D) Expert system
E) Natural-language processing
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20
Which of the following represents all possible moves of a game?

A) Neural network
B) Semantic network
C) Search tree
D) Expert system
E) Natural -language processing
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21
Which of the following describes a language, like English, that humans use to communicate with each other?

A) Natural language
B) Voice recognition
C) Voice synthesis
D) Voiceprint
E) Phonemes
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k this deck
22
Which of the following can occur with the use of pronouns?

A) Syntactic ambiguity
B) Weak equivalence
C) Lexical ambiguity
D) Referential ambiguity
E) Strong equivalence
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23
Which of the following is not one of the three most common systems used to allow a mobile robot to move?

A) Wheels
B) Wings
C) Tracks
D) Legs
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24
Computers can perform arithmetic calculations quickly and easily.
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25
A computer that passes the Turing test would demonstrate weak equivalence.
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26
Strong equivalence in a Turing test means that the human and computer are equivalent in results, but they do not necessarily arrive at the results the same way.
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27
Herbert A. Simon, one of the earliest pioneers in artificial intelligence, was a "renaissance man" with interests in computer science, psychology, and philosophy; a Ph.D. in political science; a Nobel Prize in economics; and a Turing Award.
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28
The kind of problem we are trying to solve may dictate the structure we impose on the data.
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29
An expert system is software based on the knowledge of human experts in a particular domain.
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30
A high effective weight simulates an inhibited biological neuron.
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31
Lexical ambiguity can occur when words have multiple meanings.
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32
Robots that do not move, such as those found on an assembly line, are called fixed robots.
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33
Which of the following describes the equality of two systems based on the results and the process by which they were determined?

A) Strong equivalence
B) Weak equivalence
C) Turing equivalence
D) Expert equivalence
E) Novice equivalence
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k this deck
34
Which of the following describes the process of determining the words that are spoken by a human?

A) Natural language
B) Voice recognition
C) Voice synthesis
D) Voiceprint
E) Phonemes
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35
Which of the following can occur when a word has more than one meaning?

A) Referential ambiguity
B) Lexical ambiguity
C) Syntactic ambiguity
D) Voice ambiguity
E) Synthesized ambiguity
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36
Alan Turing wrote a landmark paper in which he concluded that we would eventually be able to create a computer that thinks.
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k this deck
37
There are essentially no restrictions on the types of relationships between pairs of objects that can be modeled in a semantic network.
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38
A neural network is the part of an expert system that determines how the rules are followed and what conclusions can be drawn.
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39
An artificial neural network in a computer is designed to mimic the neural networks of the human body.
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40
Voice recognition is the process of determining the meaning of the words spoken by a human.
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41
If using a subsumption architecture, a robot attempts to model the entire world.
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42
Many Internet companies that have gone public had never made a profit before their IPO and were not likely to in the near future; they had existed on venture capital.
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43
A(n) _______________ is a structure that represents all possible moves in a game and can be used to determine the next best move.
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44
In an artificial neuron, the _______________ is computed by summing the input values multiplied by their respective weights.
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45
_______________ is the process of applying a meaningful interpretation to human communication.
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46
Rules in an expert system that can be used to draw a conclusion take the form of a(n) ________________ statement.
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47
What are two basic approaches to solving the voice synthesis problem?
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