Deck 17: Technology Guide 4 : Intelligent Systems

Question 1

Expertise refers to the extensive, task-specific knowledge acquired from training, reading, and experience.

Answer 1

True

Question 2

A genetic algorithm finds the combination of inputs that produces the best outputs.

Answer 2

True

Question 3

The goal of artificial intelligence is to completely replace human intelligence.

Answer 3

False

Question 4

Neural networks require complete inputs to be effective.

Question 5

Google uses fuzzy logic.

Question 6

A genetic algorithm is an optimizing method that finds the combination of outputs that produces the best inputs.

Question 7

Fuzzy logic can only address problems that are black and white.

Question 8

An expert system has a knowledge base and an inference engine.

Question 9

A user agent is also called a personal agent.

Question 10

Neural networks simulate the underlying concepts of the biological brain.

Question 11

One problem with expert systems is they decrease quality.

Question 12

Intelligent agents use expert systems and fuzzy logic to create their behaviour.

Question 13

A neural network has two layers of interconnected nodes.

Question 14

Fuzzy logic defines subjective concepts.

Question 15

Which of the following is not a characteristic of natural intelligence?

A)It is perishable from an organizational point of view.
B)It is easy, fast, and inexpensive.
C)It is erratic and inconsistent.
D)It is highly creative.
E)It makes use of a wide context of experiences.

Question 16

Artificial intelligence is perishable, whereas natural intelligence is permanent from an organizational point of view.

Question 17

A shopping bot is also called a personal agent.

Question 18

It is difficult to document the knowledge of artificial intelligence, but it is easy to document the knowledge of natural intelligence.

Question 19

The explanation subsystem is used to justify recommendations.

Question 20

Expert systems attempt to mimic human experts by applying expertise in a specific domain.

Question 21

Which of the following statements is false?

A)Information agents search for information and store it for the user.
B)Information agents are used by Google to surf the Web sites in Google's index.
C)Monitoring-and-surveillance agents are also called predictive agents.
D)Personal agents take action on behalf of the user.
E)User agents automatically fill out forms on the Web from stored information.

Question 22

Which of the following is not a characteristic of artificial intelligence?

A)It is permanent.
B)It is easy, fast, and inexpensive.
C)It is highly creative.
D)It tends to be effective only in narrow domains.
E)It is consistent and thorough.

Question 23

Which of the following is not a limitation of expert systems?

A)Expert systems cannot work with incomplete or uncertain data.
B)A process might contain too many rules to work as an expert system.
C)A process might be too vague to work as an expert system.
D)Decisions made by expert systems might be a potential liability.
E)Expert systems need to learn from their own mistakes.

Question 24

An inference engine is:

A)a data mining strategy used by intelligent agents
B)the programming environment of an expert system
C)a method of organizing expert system knowledge into chunks
D)a methodology used to search through the rule base of an expert system
E)the user interface of an expert system

Question 25

Which of the following is not a characteristic of genetic algorithms?

A)Selection
B)Crossover
C)Transformation
D)Mutation

Question 26

Which of the following statements is false?

A)An intelligent agent is a software program.
B)Intelligent agents are also called bots.
C)Intelligent agents are always helpful.
D)Intelligent agents use expert systems and fuzzy logic.
E)Intelligent agents perform repetitive computer-related tasks.

Question 27

Which of the following statements is false?

A)In genetic algorithms, crossover means combining portions of good outcomes.
B)Generic algorithms are best suited for decision making where there are thousands of solutions.
C)Users have to tell the generic algorithm what constitutes a "good" solution.
D)In genetic algorithms, mutation means randomly trying combinations and evaluating the outcome.
E)All of these statements are true.

Question 28

What is the primary purpose of the Turing test?

A)To determine whether computers can exhibit intelligent behaviour
B)To support or replace decision-makers
C)To explain recommendations provided by the computer
D)To recognize patterns within complex data

Question 29

Which of the following is not an intelligent system?

A)ujam
B)IBM's Watson
C)Blackboard
D)Norfolk Southern's PLASMA

Question 30

Expert systems:

A)solve problems that are too difficult for human experts
B)are based on procedural computer programming languages
C)work in specific domains
D)can apply to any business problem
E)share characteristics with mainframe computing

Question 31

Which of the following is not an expert system activity?

A)Knowledge acquisition
B)Knowledge domain
C)Knowledge inferencing
D)Knowledge representation
E)Knowledge transfer

Question 32

Hyo runs an ice cream shop with her family. They need to train someone to close the store at the end of the day. This process is an example of which type of intelligent system?

A)Expert systems
B)Neural network
C)Fuzzy logic
D)Genetic algorithms
E)Intelligent agent

Question 33

Which of the following statements concerning expert systems is false?

A)The knowledge base contains facts.
B)The knowledge base contains rules.
C)An expert system can explain its recommendation.
D)The blackboard displays the recommendation.
E)Expert systems cannot learn from their own mistakes.

Question 34

Fuzzy logic could be used to define which of the following terms:

A)Gender
B)Moderate income
C)Age
D)Address
E)Income

Question 35

Hyo runs an ice cream shop with her family. They have configured their computer to put any e-mail that contains the word "order" into a folder called Possible Orders. This process is an example of which type of intelligent system?

A)Expert systems
B)Neural network
C)Fuzzy logic
D)Genetic algorithms
E)Intelligent agent

Question 36

___________ refer(s)to computer reasoning that deals with uncertainties by simulating the process of human reasoning.

A)Expert systems
B)Artificial neural networks
C)Speech understanding systems
D)Fuzzy logic
E)Computer vision systems

Question 37

Hyo runs an ice cream shop with her family. They just started letting customers fax in their ice cream orders. Sometimes the writing is hard to read and Hyo's family has to guess what the customers have ordered based on what flavours the shop has. This process is an example of which type of intelligent system?

A)Expert systems
B)Neural network
C)Fuzzy logic
D)Genetic algorithms
E)Intelligent agent

Question 38

Which of the following is a characteristic of artificial intelligence?

A)It is difficult to document.
B)It makes use of a wide context of experiences.
C)It can be erratic, inconsistent, and incomplete at times.
D)It is a permanent preservation of knowledge.

Question 39

Which of the following is not a benefit of expert systems?

A)Increased output and productivity
B)Capture and dissemination of scarce expertise
C)Increased decision-making time
D)Reliability
E)Works with incomplete, uncertain information

Question 40

Which of the following statements is false?

A)Expert systems cannot replace decision makers.
B)Expert systems apply expertise in a specific domain.
C)Expert systems capture the expertise from a domain expert (a person).
D)Expert systems can be embedded in larger systems.
E)Expert systems follow a logical path toward a recommendation.

Question 41

__________ agents constantly observe and report on some item of interest.

A)Information
B)Monitoring-and-surveillance
C)Buyer
D)User

Question 42

Combining portions of good outcomes in the hope of creating an even better outcome is _______.

A)crossover
B)mutation
C)selection
D)testing

Question 43

How are neural networks useful to businesses?

Question 44

Which of the following is the correct order of the activities to transfer expertise from the expert to a computer?

A)Acquisition, Representation, Inferencing, Transfer
B)Transfer, Acquisition, Representation, Inferencing
C)Acquisition, Inferencing, Representation, Transfer
D)Transfer, Acquisition, Inferencing, Representation

Question 45

Neural networks are _________________.

A)a system of programs and data structures
B)used to approximate the operation of the human brain
C)particularly good at recognizing subtle, hidden, and newly emerging patterns in complex data
D)All of the above describe neural networks.

Question 46

Compare and contrast expert systems and intelligent agents.

Question 47

______________ attempt to mimic human experts by applying expertise in a specific domain.

A)Neural networks
B)Expert systems
C)Genetic algorithms
D)Intelligent agents

Question 48

What are the advantages and disadvantages of artificial intelligence systems?

Question 49

Fuzzy logic handles _______________ concepts.

A)Black-and-white
B)Objective
C)Subjective
D)Well-defined

Question 50

Which of the following is not true of genetic algorithms?

A)They work best when there are only a few possible solutions.
B)They can be used to find and evaluate solutions intelligently.
C)They can process many more possibilities more thoroughly and faster than humans.
D)They mimic the evolutionary "survival of the fittest" process.

Question 51

Intelligent agents often use __________________ behind the scenes.

A)expert systems and fuzzy logic
B)expert systems and neural networks
C)fuzzy logic and neural networks
D)fuzzy logic and genetic algorithms

Question 52

Neural networks are not used for _____________.

A)combatting fraud
B)preventing money-laundering
C)airline security
D)medical expertise

Question 53

A _____________ agent is software that will search several retailer websites and provide a comparison of each retailer's offerings, including price and availability.

A)buyer
B)personal
C)user
D)information

Question 54

_________ gives preference to better and better outcomes.

A)Crossover
B)Evolution
C)Mutation
D)Selection

Question 55

Randomly trying combinations and evaluating the success (or failure)of an outcome is _________.

A)crossover
B)evolution
C)mutation
D)selection

Question 56

How are intelligent agents useful to businesses?

Question 57

_______________ is a mathematical method of handling imprecise or subjective information.

A)An expert system
B)Fuzzy logic
C)A neural network
D)An intelligent agent

Question 58

____________ agents help customers find the products and services they need on a website.

A)Information
B)Monitoring-and-surveillance
C)Buyer
D)User

Question 59

Compare and contrast fuzzy logic and neural networks.

Question 60

In this stage of transferring expertise from the expert to a computer, acquired knowledge is organized as rules or frames and stored electronically in a knowledge base.

A)Acquisition
B)Inferencing
C)Representation
D)Transfer

Question 61

Contrast the three types of intelligent agents and give examples of how they might be used in business.

Question 62

Fuzzy logic is a mathematical method of handling _______________ information.

Question 63

An intelligent agent is a software program that assists you, or acts on your behalf, in performing _______________ computer-related tasks.

Question 64

A ____________ mimics the evolutionary "survival-of-the-fittest" process to generate increasingly better solutions to a problem.

Question 65

The _________________ is a computer program that provides a methodology for reasoning and formulating conclusions.

Question 66

Artificial intelligence is a subfield of computer science concerned with studying the thought processes of ____________.

Question 67

Describe how your university could use an expert system in its admissions process.

Question 68

A _______________ is a system of programs and data structures that approximates the operation of the human brain.