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

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 towards a recommendation.

Answer 2

A

Question 3

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

Answer 3

B

Question 4

_____ 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 5

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

A) Expert systems cannot work with incomplete or uncertain data.ans
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 6

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 7

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

Question 8

One problem with expert systems is they decrease quality.

Question 9

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

Question 10

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 11

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 12

A neural network has two layers of interconnected nodes.

Question 13

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 14

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

Question 15

Fuzzy logic defines subjective concepts.

Question 16

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

Question 17

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 18

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

Question 19

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 20

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

Question 21

Compare and contrast fuzzy logic and neural networks.

Question 22

How are neural networks useful to businesses?

Question 23

Compare and contrast expert systems and intelligent agents.

Question 24

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

Question 25

How are intelligent agents useful to businesses?

Question 26

Hyo runs an ice cream shop with her family. They need to train someone to close the store at the end of 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 27

What are the advantages and disadvantages of artificial intelligence systems?

Question 28

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 29

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 30

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 flavors 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 31

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 32

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

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

Question 33

Hyo runs an ice cream shop with her family. They need to train someone to close the store at the end of 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 34

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

Question 35

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 export systems and fuzzy logic.
E) Intelligent agents perform repetitive computer-related tasks.

Question 36

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

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