59. Virtually all expert systems deal with problems of
A) policy development.
B) high complexity.
C) logic and control.
D) classification.
60. Expert systems are expensive and time consuming to maintain because
A) they rely on equipment that becomes outdated.
B) their rules must be reprogrammed every time there is a change in the environment, which in turn may
change the applicable rules.
C) their rule base is so complex.
D) only the person who created the system knows exactly how it works, and may not be available when
changes are needed.
61. In this technique, descriptions of past experiences of human specialists are stored in a database for later
retrieval when the user encounters a situation with similar characteristics.
A) LMS
B) CBR
C) fuzzy logic
D) data mining
62. 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) neural network.
B) fuzzy logic.
C) expert system.
D) case–based reasoning.
63. 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) artificial intelligence.
B) fuzzy logic.
C) case–based reasoning.
D) expert system.
64. Fuzzy logic is a type of
A) business intelligence.
B) data mining.
C) intelligent technique.
D) neural network.
65. Hardware and software that attempts to emulate the processing patterns of the biological brain best
describes
A) fuzzy logic.
B) an expert system.
C) a neural network.
D) case–based reasoning.
66. Which of the following describes a difference between neural networks and genetic algorithms?
A) Neural networks are programmed to “learn.”
B) Genetic algorithms are a type of knowledge discovery, while neural networks are an intelligent
technique.
C) Genetic algorithms are designed to process large amounts of information.
D) all of the above
67. Genetic algorithms
A) are based on logic.
B) develop solutions to particular problems using fitness, crossover, and mutation.
C) represent knowledge as groups of characteristics.
D) do not work for most problems.
68. 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) business intelligence.
C) intelligent techniques.
D) AI hybrid systems.
69. What type of intelligent technique helped Procter & Gamble determine the most efficient methods for their
trucks to deliver goods?
A) fuzzy logic
B) genetic algorithms
C) intelligent agents
D) none of the above
70. 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) intelligent agents.
B) CAD systems.
C) virtual reality systems.
D) fuzzy logic systems.
71. ________ is thought to be the collective and individual experience of applying knowledge to the solution of
problems.
72. ________ is explicit knowledge that exists in formal documents, as well as in formal rules that organizations
derive by observing experts and their decision–making behaviors.
73. A(n) ________ is a scheme for classifying information and knowledge in such a way that it can be easily
accessed.
74. ________ is the study of how computer programs can improve their performance without explicit
programming.
75. The terms used in a fuzzy logic system to describe imprecise states or conditions are referred to as ________.
76. User–created taxonomies created for shared bookmarks are called ________.
77. ________ seeks to enhance human perception by combining a live direct view of the physical world with
computer–generated images.
78. The model of human knowledge used by expert systems is called the ________.
79. A(n) ________ is a type of intelligent technique that finds patterns and relationships in massive data sets too
large for a human to analyze.
80. Systems that integrate genetic algorithms, fuzzy logic, neural networks, and expert systems are called
________ systems.
81. What is knowledge management? What types of knowledge might a company such as a taxi service have,
and could a taxi service benefit from knowledge management?
82. Briefly outline the knowledge management chain as it might apply to the online catalog system of a public
library.
83. Identify the three major types of knowledge management systems. Provide two examples of each.
84. How can knowledge be gathered from the personal and undocumented expertise of professionals within a
firm? List at least four ways to gather and disseminate such knowledge.
85. Why are knowledge workers so important to the digital firm? What are their functions and which of these do
you feel is most critical to the success of the firm? Why?
86. Identify three important qualities or capabilities of knowledge work systems.
87. Discuss the concept of virtual reality, especially with regard to VRML and its applications in the business
arena.
88. What is the difference between a neural network, fuzzy logic, and genetic algorithms? Which would be most
useful to an organization of astronomers analyzing gamma ray emissions reaching Earth?
89. What do you see as the challenges in setting up a knowledge management system?
90. You have been hired by a small architectural firm interested in implementing a knowledge management
system. What features do you think would be of most benefit to them?
