chapter 4

Question 1

most relevant intelligent technologies that underlie most KM systems

Answer 1

from rule-based expert systems,
case-based reasoning (CBR),
traditional management information systems

Question 2

different types of knowledge application systems:

Answer 2

expert systems,
help desk systems, and
fault diagnosis systems.

Question 3

_____refers to enabling computers to perform tasks that resemble human thinking ability.

Answer 3

AI

Question 4

Intelligent systems offer us technologies to manage knowledge—that is,

Answer 4

to apply, capture, share, and discover it.

Question 5

______ basically apply knowledge to solve specific problems.

Answer 5

Knowledge application systems

Question 6

most relevant intelligent technologies that support the development of knowledge application systems:

Answer 6

rule-based expert systems and case-based reasoning.

Question 7

the development of knowledge-based systems had been based on the use of rules or models to represent the _____

Answer 7

domain knowledge.

Question 8

The process of developing knowledge application systems requires eliciting the knowledge from the expert and representing it a form that is usable by computers called?

Answer 8

knowledge engineering.

Question 9

Experts develop these ____ over years of practical experience at solving problems.

Answer 9

rules-of-thumb/heuristic

Question 10

In order for the computer to understand these rules-of-thumb, we represent them as____

Answer 10

production rules or IF-THEN statements.

Question 11

_____ is an artificial intelligence technique designed to mimic human problem solving.

Answer 11

Case-based reasoning

Question 12

T/F CBR is a method of descriptive reasoning?

Answer 12

F / it is analogical

Question 13

typical case-based knowledge application system will consist of the following processes:

Answer 13

1. Search the case library for similar cases
2. Select and retrieve the most similar case
3. Adapt the solution for the most similar case.
4. Apply the generated solution and obtain
   feedback
5. Add the newly solved problem to the case library

Question 14

There are several variants of CBR, such as

Answer 14

exemplar-based reasoning, instance-based reasoning, and analogy-based reasoning.

Question 15

_____ reasoning—These systems seek to solve problems through classification

Answer 15

exemplar-based reasoning

Question 16

The major focus of study of these systems is automated learning, requiring no user involvement

Answer 16

instance based reasoning

Question 17

reasoning—These systems are typically used to solve new problems based on past cases from a different domain

Answer 17

analogy based reasoning

Question 18

________ is an artificial intelligence technique that uses essentially “what cannot be done” to guide the process of finding a solution

Answer 18

Constraint-based reasoning

Question 19

_______is an intelligent reasoning technique that uses a model of an engineered system to simulate its normal behavior

Answer 19

Model-based reasoning

Question 20

_______ is an artificial intelligence technique that aims to understand concepts and ideas using diagrams that represent knowledge

Answer 20

Diagrammatic reasoning

Question 21

_____ is a methodology that describes an iterative approach to effectively develop CBR and knowledge application systems in general.

Answer 21

Case-Method Cycle

Question 22

describes the following six processes of case method cycle

Answer 22

1. System development process
2. Case library development process
3. System operation process
4. Database mining process
5. Management process
6. Knowledge transfer process

Question 23

____is one of the earliest diagnostic knowledge application systems

Answer 23

GenAID

Question 24

_____ is increasingly becoming a major emphasis for the development of knowledge applications systems

Answer 24

Fault diagnosis