Homework answers / question archive / California State University, Fresno - IS 6E Package Title: Test Bank Course Title: Introduction to IS 6e Chapter Number: Technology Guide 4 Question Type: Multiple Choice 1)AI is NOT concerned with   

California State University, Fresno - IS 6E Package Title: Test Bank Course Title: Introduction to IS 6e Chapter Number: Technology Guide 4 Question Type: Multiple Choice 1)AI is NOT concerned with   

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California State University, Fresno - IS 6E

Package Title: Test Bank

Course Title: Introduction to IS 6e Chapter Number: Technology

Guide 4

Question Type: Multiple Choice

1)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

 

 

 

 

 

2.         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

 

 

 

 

 

3.         The Turing test involves a human and computer       .

A.         answering the phone

B.         interviewing

C.         playing Jeopardy!

D.         playing chess

 

 

 

 

 

4.         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

 

 

 

 

 

5.         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

 

 

 

 

 

6.         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

 

 

 

 

7.         PLASMA is used in the industry to mimic the complex behavior of   .

A.         Healthcare; dispatchers

B.         Healthcare; doctors

C.         Railroad; dispatchers

D.         Railroad; doctors

 

 

 

 

 

 

8.         Vertical searching is used by sites like           and is a threat to        .

A.         Google; Facebook

B.         Google; Kayak

C.         Facebook; Google

D.         Kayak; Google

 

 

 

 

 

9.                    are the most widely applied and commercially successful intelligent systems.

A.         Expert systems

B.         Genetic algorithms

C.         Intelligent agents

D.         Neural networks

 

 

 

 

10.       Expert systems            replace human experts by applying expertise in a    domain.

A.         can; general

B.         can; specific

C.         cannot; general

D.         cannot; specific

 

 

 

 

11.       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

 

 

 

 

 

12.       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

 

 

 

 

13.       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

 

 

 

 

 

14.       An expert system’s      is composed of facts and rules.

A.         Explanation subsystem

B.         Knowledge base

C.         Inference engine

D.         User interface

 

 

 

 

 

15.       An expert system’s      is like a database.

A.         Blackboard

B.         Explanation subsystem

C.         Knowledge base

D.         Inference engine

 

 

 

 

16.       A          expert system infers likely consequences of a given situation.

A.         Diagnosis

B.         Interpretation

C.         Planning

D.         Prediction

 

 

 

 

17.       A          expert system develops plans to achieve goals.

A.         Design

B.         Interpretation

C.         Planning

D.         Prediction

 

 

 

 

18.       A          expert system executes a plan to administer a prescribed remedy.

A.         Debugging

B.         Diagnosis

C.         Monitoring

D.         Repair

 

 

 

 

 

19.                  is NOT a benefit of an expert system.

A.         Knowledge accessibility

B.         Liability

C.         Productivity

D.         Reliability

 

 

 

 

20.                  usually involve a large number of processors operating in parallel.

A.         Expert systems

B.         Fuzzy logic

C.         Genetic algorithms

D.         Neural networks

 

 

 

21.       Neural networks usually involve a      number of processors operating in    .

A.         large; parallel

B.         large; real-time

C.         small; parallel

D.         small; real-time

 

 

 

22.       Neural networks are best used for analyzing data.

A.         complex, complete

B.         complex, incomplete

C.         simple, complete

D.         simple, incomplete

 

 

 

 

23.       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

 

 

 

24.                  are used to research diseases like Alzheimer’s, Parkinson’s, and epilepsy.

A.         Expert systems

B.         Genetic algorithms

C.         Intelligent agents

D.         Neural networks

 

 

 

25.                  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

 

 

 

26.       Machine learning systems often use  to learn from data.

A.         Expert systems

B.         Fuzzy logic

C.         Genetic algorithms

D.         Neural networks

 

 

 

27.       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

 

 

 

28.       Fuzzy logic is a branch of        .

A.         Computer science

B.         Engineering

C.         Mathematics

D.         Philosophy

 

 

 

29.       Which of the following is a use of fuzzy logic?

A.         Combatting fraud

B.         Designing processes

C.         Internet searches

D.         Optimizing store displays

 

 

 

 

 

30.                  uses fuzzy logic.

A.         Amazon

B.         Facebook

C.         Google

D.         Twitter

 

 

 

 

31.                  is best for handling “gray” decision-making problems.

A.         Expert systems

B.         Fuzzy logic

C.         Genetic algorithms

D.         Neural networks

 

 

 

 

32.       Fuzzy logic is best for handling           data and decisions.

A.         Partially structured

B.         Semistructured

C.         Structured

D.         Unstructured

  

 

 

 

33.       A genetic algorithm is a(n)     method.

A.         Biological

B.         Minimizing

C.         Optimizing

D.         Philosophical

 

 

 

 

34.       Which of the following is a use of genetic algorithms?

A.         Identifying income categories

B.         Designing processes

C.         Financial analysis

D.         Preventing money-laundering

 

 

 

35.                  randomly tries combinations and then evaluates the success or failure of each outcome.

A.         Crossover

B.         Expertise

C.         Mutation

D.         Selection

 

 

 

36.       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

 

 

 

 

37.       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

 

 

 

 

38.       Genetic algorithms are most often utilized in the     department.

A.         Accounting

B.         Customer service

C.         Human resources

D.         Operations

 

 

 

 

39.       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

 

 

 

40.       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

 

 

 

 

41.       Microsoft’s Clippy is an example of a(n)        .

A.         Expert system

B.         Genetic algorithm

C.         Intelligent agent

D.         Neural network

 

 

 

42.       Intelligent agents are also called       .

A.         Bots

B.         Expert systems

C.         Smart systems

D.         Spammers

 

 

 

43.                  agents search for information and display it to users.

A.         Information

B.         Monitoring and surveillance

C.         Personal

D.         User

 

 

 

44.       A shopping bot is also called a           agent.

A.         Buyer

B.         Personal

C.         Predictive

D.         Seller

 

 

 

 

45.       Amazon uses a(n)        agent for its recommendation system.

A.         Information

B.         Monitoring and surveillance

C.         Personal

D.         User

 

 

 

 

46.       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

 

 

 

 

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

A.         Information

B.         Personal

C.         Predictive

D.         User

 

 

 

48.       A          agent takes action on your behalf.

A.         Buyer

B.         Monitoring and surveillance

C.         Personal

D.         Seller

 

 

 

49.       The auto-fill functionality on your web browser is a(n)         agent.

A.         Buyer

B.         Information

C.         Predictive

D.         User

 

 

 

 

50.       A user agent is also called a   agent.

A.         Buyer

B.         Information

C.         Personal

D.         Predictive

 

 

 

Question Type: True/False

 

1.         The Turing test shows intelligent systems are really close to exhibiting significant intelligence.

 

 

 

 

 

 

2.         Expertise takes a long time to acquire and is distributed unevenly in organizations.

 

 

 

 

3.         A neural network works the same way a wide-area network does.

 

 

 

4.         Fuzzy logic is a management method for handling imprecise or subjective information.

 

 

 

 

5.         Fuzzy logic works well for financial analysis.

 

 

 

 

6.         Genetic algorithms help find and evaluate solutions intelligently.

 

 

 

 

 

7.         Intelligent agents often use expert systems and fuzzy logic behind the scenes.

 

 

 

 

Question Type: Fill-in-the-Blank

 

1.         The term         describes the various commercial applications of artificial intelligence.

 

 

 

 

 

2.         Knowledge      : the computer is programmed so that it can make inferences based on the stored knowledge.

 

 

 

3.         A neural network is a system of programs and data structures that simulates the underlying functions of the   .

 

 

4.         Fuzzy logic is a branch of mathematics that deals with uncertainties by simulating the processes of            .

 

 

 

5.                    : The key to selection is to give preference to better and better outcomes.

 

 

 

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

 

 

 

Question Type: Essay

 

1.         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.

 

 

 

2.         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.

 

 

 

3.         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.

 

 

4.         List and describe the three functional characteristics of genetic algorithms. Describe a possible business scenario for utilizing each functional characteristic.

 

 

 

5.         How does Google utilize intelligent systems?