Brainscape's Knowledge GenomeTM

Browse over 1 million classes created by top students, professors, publishers, and experts.


See full index

Business Intelligence and Analytics > Ch. 11 - Automated Decision Systems and Expert Systems > Flashcards

Ch. 11 - Automated Decision Systems and Expert Systems Flashcards

1
Q

Rules used in automated decision systems (ADS) can be derived based on experience.

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Most business decision rules are the same across industries.

A

False

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Flight pricing systems are examples of semi-automated decision systems that require managerial input for each decision.

A

False

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

A revenue management (RM) system for an airline seeks to minimize each customer’s ticket price of travel on the airline’s flights.

A

False

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Rule-based systems have their roots in artificial intelligence.

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Rich and Knight (1991) defined artificial intelligence as “the study of how to make people do things at which, at the moment, computers are better.”

A

False

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Expert systems (ES) are computer-based information systems that use expert knowledge to attain high-level decision performance in a narrowly defined problem domain.

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

A person’s decision performance and level of knowledge are typical criteria that determine their level of expertise in a particular subject.

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

The basic rationale of artificial intelligence is to use mathematical calculation rather than symbolic reasoning.

A

False

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

While most first-generation Expert Systems (ES) use if-then rules to represent and store their knowledge, second-generation ES are more flexible in adopting multiple knowledge representation and reasoning methods.

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

The case study on chemical, biological, and radiological agents shows that expert systems are widely used in high pressure situations where the human decision makers are confident in taking quick actions.

A

False

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

A nonexpert uses the development environment of an expert system to obtain advice and to solve problems using the expert knowledge embedded into the system.

A

False

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Knowledge acquisition from experts is a complex task that requires specialized expertise to conduct successfully.

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

The knowledge base in an expert system must correspond exactly to the format of the knowledge base in the organization where it will be utilized.

A

False

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

The inference engine, also known as the control structure or the rule interpreter (in rule-based ES), is essentially a computer program that provides a methodology for reasoning about information in the knowledge base and on the blackboard to formulate appropriate conclusions.

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

The critical component of a knowledge refinement system is the self-learning mechanism that allows it to adjust its knowledge base and its processing of knowledge based on the evaluation of its recent past performances.

A

True

17
Q

Validation of knowledge is usually done by a human expert in the knowledge domain.

A

True

18
Q

Once validated, the knowledge acquired from experts or induced from a set of data must be represented in a format that does not need to be understandable by humans but must be executable on computers.

A

False

19
Q

Inference rules and knowledge rules are both used to solve problems in a rule-based expert system.

A

True

20
Q

Unlike human experts, expert systems do not need to explain their views, recommendations, or decisions.

A

False

21
Q

Who are automated decision systems (ADS) primarily designed for?
A) strategic level managers making long-term, wide-ranging decisions
B) mid-level managers making tactical decision
C) frontline workers who must make decisions rapidly
D) operational managers who make shop floor decisions

A

C) frontline workers who must make decisions rapidly

22
Q

Revenue management systems modify the prices of products and services dynamically based on
A) intuition, demand, and supply.
B) intuition, competition, and supply.
C) business rules, demand, and supply.
D) business rules, supply, and intuition.

A

C) business rules, demand, and supply.

23
Q

What would explain why a divorce attorney in New York City may not be considered an expert in Beijing, China?
A) You need a greater level of experience in Beijing to practice law.
B) No criteria to evaluate divorce attorneys exist in Beijing.
C) The divorce attorney in New York does not speak Mandarin.
D) Expertise is frequently domain dependent.

A

D) Expertise is frequently domain dependent.

24
Q

What does self-knowledge in an expert system (ES) mean?
A) An ES understands itself in a very human sense.
B) An ES understands the human decision maker.
C) The ES can explain how it reached a conclusion.
D) The ES “knows” that it exists.

A

D) The ES “knows” that it exists.

25
Q

How does an expert system differ from conventional systems?
A) Changes in an expert system are tedious to make.
B) The expert system operates only when it is complete.
C) Expert systems handle qualitative data easily.
D) Execution of expert system programs is algorithmic or step-by-step.

A

C) Expert systems handle qualitative data easily.

26
Q

In the sport talents identification case study, the expert system was calibrated with expertise from
A) multiple sports experts.
B) one overall sports expert.
C) ) the system developer.
D) subjects in the cases used to create the ES.

A

D) subjects in the cases used to create the ES.

27
Q

) In the chemical, biological, and radiological agents case study, the CBR Advisor program had all the following features EXCEPT
A) it could provide advice even incomplete information.
B) it was tailored to different types of users.
C) it was available online to the general public.
D) it was created by multiple experts.

A

C) it was available online to the general public.

28
Q

The MYCIN Expert System was used to diagnose bacterial infections using
A) a simulation model that tried out many options.
B) a set of 500 rules on the subject.
C) an optimization model.
D) an expert system whose performance was inferior to human experts.

A

B) a set of 500 rules on the subject.

29
Q

Which module is missing from most expert systems?
A) user interface subsystem
B) knowledge base subsystem
C) inference engine
D) knowledge refinement subsystem

A

D) knowledge refinement subsystem

30
Q

All the following statements about how an expert system operates are true EXCEPT
A) incorporated knowledge is drawn exclusively from human experts.
B) a knowledge engineer creates inferencing rules.
C) knowledge rules are stored in the knowledge base.
D) inference engines contain an explanation subcomponent.

A

D) inference engines contain an explanation subcomponent.

31
Q

In the heart disease diagnosis case study, what was a benefit of the SIPMES expert system?
A) Expert systems from other domains were used, saving development time.
B) The SIPMES system agreed with human experts 64% of the time.
C) The SIPMES system could diagnose all types of cardiovascular diseases.
D) No human expert knowledge was needed in development, only textbook knowledge.

A

C) The SIPMES system could diagnose all types of cardiovascular diseases.

32
Q

Which of the following is NOT a stage of knowledge engineering?
A) knowledge consolidation
B) knowledge representation
C) knowledge acquisition
D) knowledge validation

A

A) knowledge consolidation

33
Q

It is difficult to acquire knowledge from experts for all the following reasons EXCEPT
A) experts may not be able to put into words how they conduct their work.
B) testing and refining of knowledge is complex and difficult.
C) many business areas have no identifiable experts.
D) experts often change their behavior when observed.

A

C) many business areas have no identifiable experts.

34
Q

Using certainty factors, a rule declares that IF competition is strong, CF = 70 AND margins are above 15% CF = 100 THEN sales demand will decline. If both conditions are true, what is the CF of the conclusion?
A) 100%
B) 70%
C) 30%
D) 21%

A

B) 70%

35
Q

Using certainty factors, a rule declares that IF competition is strong, CF = 70 OR margins are above 15% CF = 100 THEN sales demand will decline. If both conditions are true, what is the CF of the conclusion?
A) 100%
B) 70%
C) 30%
D) 21%

A

A) 100%

36
Q

Which category of expert systems that includes weather forecasting and economic/financial forecasting?
A) diagnostic ES
B) planning ES
C) instruction ES
D) prediction ES

A

D) prediction ES

37
Q

Which tool would be best to use when there is a need to very rapidly and cheaply develop a rule-based expert system?
A) LISP or Prolog languages
B) ASP.NET
C) an ES shell
D) C++

A

C) an ES shell

Business Intelligence and Analytics (6 decks)

Brainscape helps you reach your goals faster, through stronger study habits.
© 2024 Bold Learning Solutions. Terms and Conditions