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HW7
1. The percentage of gross domestic product of the United States that is produced by the
knowledge and information sectors is estimated to be about ________ percent.
a. 25
b. 45
c. 65
d. 85
2. Which of the following would not be considered semistructured knowledge?
a. request for proposals
b. voice-mail
c. videos
d. e-mail
3. The flow of events or transactions captured by an organization"s system describes
a. information.
b. data.
c. wisdom.
d. knowledge.
4. Which of the following is not one of the main four dimensions of knowledge described in the
chapter?
a. Knowledge is a firm asset.
b. Knowledge has different forms.
c. Knowledge has no locations.
d. Knowledge is situational.
5. Which of the following systems digitizes, indexes, and tags documents according to a coherent
framework?
a. wikis
b. CAD
c. document management
d. LMS
6. Which of the following are the three major types of knowledge management systems?
a. management information systems, decision support systems, and transaction processing
systems
b. enterprise systems, customer support systems, and supply chain management systems
c. database management systems, expert systems, and knowledge work systems
d. enterprise-wide knowledge management systems, knowledge work systems, and intelligent
techniques
7. Specialized systems built for engineers, scientists, and other knowledge workers charged with
discovering and creating new knowledge for a company are called
a. KWS.
b. LMS.
c. wikis.
d. CAD systems.
8. In content management, once a taxonomy is developed, documents must then be ________
with the proper classification.
a. tagged
b. linked
c. tupled
d. referenced
9. You are advising a multimedia company on the best type of knowledge management system to
help them archive digital video and sound clips. Which of the following will suit their needs?
a. enterprise content management system
b. digital asset management system
c. knowledge network system
d. VRML system
10. Which of the following is not a Web 2.0 tool firms are using to foster collaboration?
a. blogs
b. intranets
c. wikis
d. social bookmarking
11. Virtually all expert systems deal with problems of
a. policy development.
b. classification.
c. logic and control.
d. high complexity.
12. Apples Siri application is an example of
a. neural networks.
b. CBR.
c. artificial intelligence.
d. intelligent agents.
13. Which of the following systems is not used to capture tacit knowledge?
a. expert system
b. case-based reasoning
c. fuzzy logic
d. neural network
14. Which of the following techniques is used for knowledge discovery?
a. expert system
b. transaction processing systems
c. case-based reasoning
d. data mining
15. Technology that consists of computer-based systems that attempt to emulate human behavior
is called
a. fuzzy logic.
b. neural networks.
c. AI technology.
d. genetic algorithms.
16. An inference engine is
a. a strategy for searching the rule base in case-based reasoning.
b. the programming environment of an expert system.
c. a method of organizing expert system knowledge into chunks.
d. a strategy used to search through the rule base in an expert system by forward chaining or
backward chaining.
17. Forward chaining is
a. a strategy for searching the rule base in an expert system that begins with information entered
by the user.
b. the programming environment of an expert system.
c. a method of organizing expert system knowledge into chunks.
d. a strategy for searching the rule base in an expert system that begins with a hypothesis.
18. Backward chaining is
a. a strategy for searching the rule base in an expert system that begins with information entered
by the user.
b. the programming environment of an expert system.
c. a method of organizing expert system knowledge into chunks.
d. a strategy for searching the rule base in an expert system that begins with a hypothesis.
19. Your company wants to develop intelligent techniques to create a "smart" oven that can
perfectly cook basic foodstuffs, such as roasts and bread, using sensors and minimal input from
the user. The system would know the difference between rare, medium rare, medium, and well
done roasts. The category of intelligent technique that would describe this system is
a. expert system.
b. neural network.
c. case-based reasoning.
d. fuzzy logic.
20. You are an automotive engineer working on an application that will automatically parallel
park a car. The intelligent technique you may find most useful is
a. case-based reasoning.
b. artificial intelligence.
c. fuzzy logic.
d. expert system.
21. Fuzzy logic is a type of
a. data mining.
b. neural network.
c. intelligent technique.
d. business intelligence.
22. Hardware and software that attempts to emulate the processing patterns of the biological
brain best describes
a. a neural network.
b. an expert system.
c. case-based reasoning.
d. fuzzy logic.
23. Genetic algorithms
a. develop solutions to particular problems using fitness, crossover, and mutation.
b. represent knowledge as groups of characteristics.
c. do not work for most problems.
d. are based on logic.
24. Software programs that work without direct human intervention to carry out specific tasks for
individual users, business processes, or software applications, are called
a. intelligent agents.
b. intelligent techniques.
c. business intelligence.
d. AI hybrid systems.
25. To automate routine tasks to help firms search for and filter information for use in electronic
commerce and supply chain management a firm would most likely use
a. CAD systems.
b. virtual reality systems.
c. fuzzy logic systems.
d. intelligent agents.
After studying the above questions, go online
http://users.business.uconn.edu/whuang/opim3103/hw , choose HW7 to answer the questions.