Deck 17: Technology Guide 4 : Intelligent Systems
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Deck 17: Technology Guide 4 : Intelligent Systems
1
An expert system's ______________________ is composed of facts and rules.
A)Explanation subsystem
B)Knowledge base
C)Inference engine
D)User interface
A)Explanation subsystem
B)Knowledge base
C)Inference engine
D)User interface
B
2
Which of the following is a characteristic of AI?
A)Difficult and expensive to duplicate and disseminate knowledge
B)Erratic and inconsistent total cost of knowledge
C)Low creativity
D)Knowledge isn't preserved well
A)Difficult and expensive to duplicate and disseminate knowledge
B)Erratic and inconsistent total cost of knowledge
C)Low creativity
D)Knowledge isn't preserved well
C
3
PLASMA is used in the ________ industry to mimic the complex behavior of ________.
A)Healthcare; dispatchers
B)Healthcare; doctors
C)Railroad; dispatchers
D)Railroad; doctors
A)Healthcare; dispatchers
B)Healthcare; doctors
C)Railroad; dispatchers
D)Railroad; doctors
C
4
A __________________________ expert system executes a plan to administer a prescribed remedy.
A)Debugging
B)Diagnosis
C)Monitoring
D)Repair
A)Debugging
B)Diagnosis
C)Monitoring
D)Repair
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5
An expert system's ______________________ is like a database.
A)Blackboard
B)Explanation subsystem
C)Knowledge base
D)Inference engine
A)Blackboard
B)Explanation subsystem
C)Knowledge base
D)Inference engine
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6
Expert systems ______ replace human experts by applying expertise in a _____ domain.
A)can; general
B)can; specific
C)cannot; general
D)cannot; specific
A)can; general
B)can; specific
C)cannot; general
D)cannot; specific
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7
A __________________________ expert system infers likely consequences of a given situation.
A)Diagnosis
B)Interpretation
C)Planning
D)Prediction
A)Diagnosis
B)Interpretation
C)Planning
D)Prediction
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8
A __________________________ expert system develops plans to achieve goals.
A)Design
B)Interpretation
C)Planning
D)Prediction
A)Design
B)Interpretation
C)Planning
D)Prediction
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9
ujam is ____________ that uses ________ to produce sophisticated harmonies, bass lines, drum tracks, horn parts, etc.
A)hardware; algorithms
B)hardware; instinct
C)software; algorithms
D)software; instinct
A)hardware; algorithms
B)hardware; instinct
C)software; algorithms
D)software; instinct
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10
Which of the following is a characteristic of natural intelligence?
A)Difficult and expensive to duplicate and disseminate knowledge
B)Limited use of sensory experiences
C)Low creativity
D)Reasoning is only good in narrow, focused, and stable domains
A)Difficult and expensive to duplicate and disseminate knowledge
B)Limited use of sensory experiences
C)Low creativity
D)Reasoning is only good in narrow, focused, and stable domains
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11
Vertical searching is used by sites like ________ and is a threat to __________.
A)Google; Facebook
B)Google; Kayak
C)Facebook; Google
D)Kayak; Google
A)Google; Facebook
B)Google; Kayak
C)Facebook; Google
D)Kayak; Google
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12
AI is NOT concerned with _______________.
A)building computers and robots with intelligence
B)studying the thought processes of humans
C)recreating the thought processes of humans via machines
D)replacing workers with machines to reduce costs
A)building computers and robots with intelligence
B)studying the thought processes of humans
C)recreating the thought processes of humans via machines
D)replacing workers with machines to reduce costs
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13
The __________________ test proposes a scenario in which a man and a computer both pretend to be women or men, and a human interviewer has to identify which is the real human.
A)Google
B)SkyNet
C)Terminator
D)Turing
A)Google
B)SkyNet
C)Terminator
D)Turing
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14
The Turing test involves a human and computer ______________.
A)answering the phone
B)interviewing
C)playing Jeopardy!
D)playing chess
A)answering the phone
B)interviewing
C)playing Jeopardy!
D)playing chess
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15
___________ are the most widely applied and commercially successful intelligent systems.
A)Expert systems
B)Genetic algorithms
C)Intelligent agents
D)Neural networks
A)Expert systems
B)Genetic algorithms
C)Intelligent agents
D)Neural networks
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16
Knowledge __________________________ occurs when knowledge is organized as rules or frames and stored electronically in a knowledge base.
A)Acquisition
B)Inferencing
C)Representation
D)Transfer
A)Acquisition
B)Inferencing
C)Representation
D)Transfer
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17
You are a doctor at a successful practice in the US. You are contacted by WebMD.com to provide your expertise on your successful new cancer identification technique. This is considered knowledge _______.
A)Acquisition
B)Inferencing
C)Representation
D)Transfer
A)Acquisition
B)Inferencing
C)Representation
D)Transfer
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18
_______________ usually involve a large number of processors operating in parallel.
A)Expert systems
B)Fuzzy logic
C)Genetic algorithms
D)Neural networks
A)Expert systems
B)Fuzzy logic
C)Genetic algorithms
D)Neural networks
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19
______________________ is NOT a benefit of an expert system.
A)Knowledge accessibility
B)Liability
C)Productivity
D)Reliability
A)Knowledge accessibility
B)Liability
C)Productivity
D)Reliability
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20
You are the HR manager at ABC Corp. You are using an expert system to "score" candidates for the new sales manager job. The scores you receive are an example of knowledge __________.
A)Acquisition
B)Inferencing
C)Representation
D)Transfer
A)Acquisition
B)Inferencing
C)Representation
D)Transfer
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21
Which of the following is a use of genetic algorithms?
A)Identifying income categories
B)Designing processes
C)Financial analysis
D)Preventing money-laundering
A)Identifying income categories
B)Designing processes
C)Financial analysis
D)Preventing money-laundering
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22
Which of the following is a use of fuzzy logic?
A)Combatting fraud
B)Designing processes
C)Internet searches
D)Optimizing store displays
A)Combatting fraud
B)Designing processes
C)Internet searches
D)Optimizing store displays
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23
Machine learning systems often use _________ to learn from data.
A)Expert systems
B)Fuzzy logic
C)Genetic algorithms
D)Neural networks
A)Expert systems
B)Fuzzy logic
C)Genetic algorithms
D)Neural networks
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24
_______________ are "trained" by being fed large amounts of data and rules about data relationships.
A)Expert systems
B)Fuzzy logic
C)Genetic algorithms
D)Neural networks
A)Expert systems
B)Fuzzy logic
C)Genetic algorithms
D)Neural networks
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25
___________ uses fuzzy logic.
A)Amazon
B)Facebook
C)Google
D)Twitter
A)Amazon
B)Facebook
C)Google
D)Twitter
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26
Neural networks are best used for analyzing ________ data.
A)complex, complete
B)complex, incomplete
C)simple, complete
D)simple, incomplete
A)complex, complete
B)complex, incomplete
C)simple, complete
D)simple, incomplete
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27
____________________ randomly tries combinations and then evaluates the success or failure of each outcome.
A)Crossover
B)Expertise
C)Mutation
D)Selection
A)Crossover
B)Expertise
C)Mutation
D)Selection
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28
Genetic algorithms are most often utilized in the __________ department.
A)Accounting
B)Customer service
C)Human resources
D)Operations
A)Accounting
B)Customer service
C)Human resources
D)Operations
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29
A genetic algorithm is a(n)___________ method.
A)Biological
B)Minimizing
C)Optimizing
D)Philosophical
A)Biological
B)Minimizing
C)Optimizing
D)Philosophical
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30
_______________ is best for handling "gray" decision-making problems.
A)Expert systems
B)Fuzzy logic
C)Genetic algorithms
D)Neural networks
A)Expert systems
B)Fuzzy logic
C)Genetic algorithms
D)Neural networks
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31
Intelligent agents often use _________ behind the scenes.
A)expert systems and fuzzy logic
B)expert systems and genetic algorithms
C)fuzzy logic and neural networks
D)fuzzy logic and genetic algorithms
A)expert systems and fuzzy logic
B)expert systems and genetic algorithms
C)fuzzy logic and neural networks
D)fuzzy logic and genetic algorithms
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32
Fuzzy logic is a branch of _________.
A)Computer science
B)Engineering
C)Mathematics
D)Philosophy
A)Computer science
B)Engineering
C)Mathematics
D)Philosophy
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33
If you want to evaluate the best product to market to your customers every month, you would use the __________ functional characteristic of a genetic algorithm.
A)Crossover
B)Expertise
C)Mutation
D)Selection
A)Crossover
B)Expertise
C)Mutation
D)Selection
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34
Which of the following is NOT an example of a machine learning system?
A)Customer detection
B)Face recognition
C)Fraud detection
D)Spam recognition
A)Customer detection
B)Face recognition
C)Fraud detection
D)Spam recognition
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35
A(n)____________________ is a software program that assists you in performing repetitive computer-related tasks.
A)Expert system
B)Genetic algorithm
C)Intelligent agent
D)Neural network
A)Expert system
B)Genetic algorithm
C)Intelligent agent
D)Neural network
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36
If a genetic algorithm recommends spending more on marketing and calling customers directly to improve product sales, you would be using the __________ functional characteristic of a genetic algorithm.
A)Crossover
B)Expertise
C)Mutation
D)Selection
A)Crossover
B)Expertise
C)Mutation
D)Selection
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37
Neural networks usually involve a _______ number of processors operating in _____.
A)large; parallel
B)large; real-time
C)small; parallel
D)small; real-time
A)large; parallel
B)large; real-time
C)small; parallel
D)small; real-time
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38
Fuzzy logic is best for handling _________ data and decisions.
A)Partially structured
B)Semistructured
C)Structured
D)Unstructured
A)Partially structured
B)Semistructured
C)Structured
D)Unstructured
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39
___________ are used to research diseases like Alzheimer's, Parkinson's, and epilepsy.
A)Expert systems
B)Genetic algorithms
C)Intelligent agents
D)Neural networks
A)Expert systems
B)Genetic algorithms
C)Intelligent agents
D)Neural networks
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40
Which of the following is a use of neural networks?
A)Designing processes
B)Identifying income categories
C)Optimizing store displays
D)Preventing money-laundering
A)Designing processes
B)Identifying income categories
C)Optimizing store displays
D)Preventing money-laundering
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41
If you use airfarewatchdog.com to wait for the cheapest possible plane ticket to Australia for your summer vacation, this is an example of a __________ agent.
A)Information
B)Personal
C)Predictive
D)User
A)Information
B)Personal
C)Predictive
D)User
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42
_________ agents constantly observe and report on some item of interest.
A)Information
B)Personal
C)Predictive
D)User
A)Information
B)Personal
C)Predictive
D)User
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43
Intelligent agents are also called _________.
A)Bots
B)Expert systems
C)Smart systems
D)Spammers
A)Bots
B)Expert systems
C)Smart systems
D)Spammers
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44
Genetic algorithms help find and evaluate solutions intelligently.
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45
A neural network works the same way a wide-area network does.
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46
Intelligent agents often use expert systems and fuzzy logic behind the scenes.
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47
The term ____________________________________ describes the various commercial applications of artificial intelligence.
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48
A user agent is also called a ________ agent.
A)Buyer
B)Information
C)Personal
D)Predictive
A)Buyer
B)Information
C)Personal
D)Predictive
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49
Fuzzy logic is a management method for handling imprecise or subjective information.
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50
Microsoft's Clippy is an example of a(n)_______.
A)Expert system
B)Genetic algorithm
C)Intelligent agent
D)Neural network
A)Expert system
B)Genetic algorithm
C)Intelligent agent
D)Neural network
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51
A neural network is a system of programs and data structures that simulates the
underlying functions of the _________________________.
underlying functions of the _________________________.
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52
A _____________________ agent takes action on your behalf.
A)Buyer
B)Monitoring and surveillance
C)Personal
D)Seller
A)Buyer
B)Monitoring and surveillance
C)Personal
D)Seller
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53
Knowledge ________________________________: the computer is programmed so that it can make inferences based on the stored knowledge.
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54
A shopping bot is also called a _____________ agent.
A)Buyer
B)Personal
C)Predictive
D)Seller
A)Buyer
B)Personal
C)Predictive
D)Seller
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55
The Turing test shows intelligent systems are really close to exhibiting significant intelligence.
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56
Fuzzy logic works well for financial analysis.
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57
Expertise takes a long time to acquire and is distributed unevenly in organizations.
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58
Amazon uses a(n)____________ agent for its recommendation system.
A)Information
B)Monitoring and surveillance
C)Personal
D)User
A)Information
B)Monitoring and surveillance
C)Personal
D)User
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59
________ agents search for information and display it to users.
A)Information
B)Monitoring and surveillance
C)Personal
D)User
A)Information
B)Monitoring and surveillance
C)Personal
D)User
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60
The auto-fill functionality on your web browser is a(n)_________ agent.
A)Buyer
B)Information
C)Predictive
D)User
A)Buyer
B)Information
C)Predictive
D)User
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61
List and describe the four activities necessary for transferring expertise from an expert to a computer and then to the user. What role does a human have in each activity? List and describe one obstacle that must be overcome for each activity.
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62
What is the difference between natural and artificial intelligence? Do you think artificial intelligence can replace natural intelligence? Why or why not? Evaluate the potential ethical ramifications of using artificial intelligence within a business.
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63
List and describe the three functional characteristics of genetic algorithms. Describe a possible business scenario for utilizing each functional characteristic.
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64
_____________________________: The key to selection is to give preference to better and better outcomes.
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65
__________________________________________ agents constantly observe and report on some item of interest.
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66
How does Google utilize intelligent systems?
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67
Fuzzy logic is a branch of mathematics that deals with uncertainties by simulating the
processes of _____________________________________.
processes of _____________________________________.
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68
What is the purpose of an expert system? Give a real world example of an expert system and evaluate the ethical ramifications of such a system.
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