MIS Chapter 7

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11. Data consists of raw facts, such as an employee number, number of hours worked in a week, inventory part numbers, or sales orders.

True

False

12. Neural networks can process many pieces of data at the same time and learn to recognize patterns.

True

False

13. ____ convert sound waves into words.

Vision systems

Robotic systems

Voice recognition systems

Learning systems

14. Contemporary robotics combine both high-precision machine capabilities and sophisticated controlling software.

True

False

15. The natural language processing system corrects spelling mistakes, converts abbreviations into words and commands, and allows people to ask questions in English.

True

False

16. Knowledge acquisition can be a manual process or a mixture of manual and automated procedures.

True

False

17. An effective KMS is based on learning new knowledge and changing procedures and approaches as a result.

True

False

18. Some organizations and professions use communities of practice (COP) to create, store, and share knowledge.

True

False

19. ____ is an expert system developed at Stanford University to analyze blood infections.

FLEXPERT

MYCIN

THORASK

Employee Appraiser

20. A knowledge base is a natural extension of a database and an information and decision support system.

True

False

21. ____ is the process of starting with conclusions and working backward to the supporting facts.

Forward chaining

Backward chaining

Neural processing

Knowledge engineering

22. Micro-electro-mechanical systems can be used in a person’s blood to monitor the body, and for other purposes in air bags, cell phones, refrigerators, and more.

True

False

23. As the number of rules that an expert system knows increases, the precision of the expert system decreases.

True

False

24. ____ involves the development of mechanical or computer devices that can paint cars, make precision welds, and perform other tasks that require a high degree of precision or are tedious or hazardous for human beings.

Backward chaining

Robotics

Natural language processing

Forward chaining

25. ____ starts with the facts and works forward to the conclusions.

Forward chaining

Backward chaining

Neural networking

Knowledge engineering

26. A(n) ____ consists of programs and a knowledge base used to perform a specific task for a person, a process, or another program.

Database system

Genetic algorithm

Intelligent agent

Neural network

27. Examples of data workers include writers, researchers, educators, and corporate designers.

True

False

28. A(n) ____ is an approach to solving large, complex problems in which many repeated operations or models change and evolve until the best one emerges.

Inference engine

Genetic algorithm

Intelligent agent

Neural network

29. Neural network systems are effective at identifying people based on facial features.

True

False

30. A particular skill of natural language processing is analyzing detailed trends.

True

False

31. ____ include hardware and software that permit computers to capture, store, and manipulate visual images.

Vision systems

Learning systems

Neural networks

Intelligent agents

32. ____ is an expert system that uses fuzzy logic to perform plant layout.

FLEXPERT

MYCIN

THORASK

Employee Appraiser

33. Knowledge users require training in computers or expert systems.

True

False

34. A(n) ____ is a conditional statement that links conditions to actions or outcomes.

Rule

Neural network

Intelligent agent

Inference engine

35. The ____ interface relays the sense of touch and other physical sensations in the virtual world.

Haptic

Database

Network

System

36. ____ are people who create, use, and disseminate knowledge.

Knowledge workers

Knowledge engineers

Data workers

Data engineers

37. The ____ is the person or group with the expertise or knowledge the expert system is trying to capture.

Domain expert

Knowledge engineer

Database expert

Intelligent agent

38. A ____ is a combination of software and hardware that allows the computer to change how it functions or reacts to situations based on feedback it receives.

Vision system

Database system

Voice recognition system

Learning system

39. A ____ system approximates the way a person sees, hears, and feels objects.

Learning

Vision

Perceptive

Management information

40. The overall purpose of a(n) ____ is to seek information and relationships from the knowledge base and to provide answers, predictions, and suggestions the way a human expert would.

Neural network

Bot

Vision system

Inference engine

41. A(n) ____ is a collection of software packages and tools used to design, develop, implement, and maintain expert systems.

MIS shell

Neural network shell

Virtual reality shell

Expert system shell

42. A(n) ____ system consists of hardware and software that stores knowledge and makes inferences, similar to those of a human expert.

Vision

Learning

Database

Expert

43. ____ involves the use of information systems to develop competitive strategies for people, organizations, or even countries.

Robotics

Informatics

Fuzzy logic

Game theory

44. A database system consists of a collection of integrated and related components, including a knowledge base, an inference engine, an explanation facility, a knowledge base acquisition facility, and a user interface.

True

False

45. ____ are available for both personal computers and mainframe systems.

MIS shells

Neural network shells

Virtual reality shells

Expert system shells