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

Question

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?