Question 1

What does self-knowledge in an expert system (ES) mean?

Accepted Answer

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)  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.

Question 2

In the chemical, biological, and radiological agents case study, the CBR Advisor program had all the following features EXCEPT

Accepted Answer

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)  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.

Question 3

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.

Accepted Answer

A) True 
 B)False

Question 4

What would explain why a divorce attorney in New York City may not be considered an expert in Beijing, China?

Accepted Answer

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)  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.

Question 5

The ability of human experts to analyze their own knowledge and its effectiveness, learn from it, and improve on it for future consultations is known as a ________.

Accepted Answer

knowledge-

Question 6

List five applications of artificial intelligence.

Accepted Answer

•Expert Systems
•Game Playing
•Computer

Question 7

Who are automated decision systems (ADS) primarily designed for?

Accepted Answer

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)  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

Question 8

Describe, with examples, the two basic ideas most experts agree that artificial intelligence (AI) is concerned with.

Accepted Answer

•The study of human thought pr

Question 9

In the sport talents identification case study, the expert system was calibrated with expertise from

Accepted Answer

A)  multiple sports experts. 
B)  one overall sports expert. 
C)   the system developer. 
D)  subjects in the cases used to create the ES. 
A)  multiple sports experts. 
B)  one overall sports expert. 
C)   the system developer. 
D)  subjects in the cases used to create the ES.

Question 10

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

Accepted Answer

A) True 
 B)False

What does self-knowledge in an expert system (ES) mean?

In the chemical, biological, and radiological agents case study, the CBR Advisor program had all the following features EXCEPT

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.

What would explain why a divorce attorney in New York City may not be considered an expert in Beijing, China?

The ability of human experts to analyze their own knowledge and its effectiveness, learn from it, and improve on it for future consultations is known as a ________.

List five applications of artificial intelligence.

Who are automated decision systems (ADS) primarily designed for?

Describe, with examples, the two basic ideas most experts agree that artificial intelligence (AI) is concerned with.

In the sport talents identification case study, the expert system was calibrated with expertise from

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

An Overview of Business Intelligence, Analytics, and Decision Support

Foundations and Technologies for Decision Making

Data Warehousing

Business Reporting, Visual Analytics, and Business Performance Management

Data Mining

Techniques for Predictive Modeling

Text Analytics, Text Mining, and Sentiment Analysis

Web Analytics, Web Mining, and Social Analytics

Model-Based Decision Making: Optimization and Multi-Criteria Systems

Modeling and Analysis: Heuristic Search Methods and Simulation

Knowledge Management and Collaborative Systems

Big Data and Analytics

Business Analytics: Emerging Trends and Future Impacts

Filters

Exam 11: Automated Decision Systems and Expert Systems

What does self-knowledge in an expert system (ES) mean?

In the chemical, biological, and radiological agents case study, the CBR Advisor program had all the following features EXCEPT

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.

What would explain why a divorce attorney in New York City may not be considered an expert in Beijing, China?

The ability of human experts to analyze their own knowledge and its effectiveness, learn from it, and improve on it for future consultations is known as a ________.

List five applications of artificial intelligence.

Who are automated decision systems (ADS) primarily designed for?

Describe, with examples, the two basic ideas most experts agree that artificial intelligence (AI) is concerned with.

In the sport talents identification case study, the expert system was calibrated with expertise from

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

An Overview of Business Intelligence, Analytics, and Decision Support

Foundations and Technologies for Decision Making

Data Warehousing

Business Reporting, Visual Analytics, and Business Performance Management

Data Mining

Techniques for Predictive Modeling

Text Analytics, Text Mining, and Sentiment Analysis

Web Analytics, Web Mining, and Social Analytics

Model-Based Decision Making: Optimization and Multi-Criteria Systems

Modeling and Analysis: Heuristic Search Methods and Simulation

Knowledge Management and Collaborative Systems

Big Data and Analytics

Business Analytics: Emerging Trends and Future Impacts

Filters