Question 1

__________are used when data is fuzzy and uncertainty is involved.

Accepted Answer

A)  Virtual reality simulations 
B)  Artificial neural networks 
C)  Backtracking algorithms 
D)  Monitoring and surveillance agents 
E)  Select 
A)  Virtual reality simulations 
B)  Artificial neural networks 
C)  Backtracking algorithms 
D)  Monitoring and surveillance agents 
E)  Select

Question 2

In the context of fuzzy logic, which of the following defines membership in a black-or-white fashion?

Accepted Answer

A)  A crisp set 
B)  A coded set 
C)  A mutable set 
D)  A dynamic set 
A)  A crisp set 
B)  A coded set 
C)  A mutable set 
D)  A dynamic set

Question 3

The _____ characteristic of an intelligent agent demonstrates the agent's ability to migrate from one platform to another with a minimum of human intervention.

Accepted Answer

A)  reactivity 
B)  adaptability 
C)  autonomy 
D)  mobility 
A)  reactivity 
B)  adaptability 
C)  autonomy 
D)  mobility

Question 4

A(n)__________is the component of an expert system that performs tasks similar to what a human expert does by explaining to end users how recommendations are derived.

Accepted Answer

A)  user interface 
B)  explanation facility 
C)  inference engine 
D)  knowledge base 
E)  Select 
A)  user interface 
B)  explanation facility 
C)  inference engine 
D)  knowledge base 
E)  Select

Question 5

GeneHunter is a hybrid product that combines artificial intelligence (AI) technologies using _____.

Accepted Answer

A)  natural-language processing 
B)  speech systems 
C)  genetic algorithms 
D)  biometric systems 
A)  natural-language processing 
B)  speech systems 
C)  genetic algorithms 
D)  biometric systems

Question 6

Which of the following components of an expert system uses forward and backward chaining to manipulate a series of rules?

Accepted Answer

A)  An explanation facility 
B)  A knowledge base 
C)  A user interface 
D)  An inference engine 
A)  An explanation facility 
B)  A knowledge base 
C)  A user interface 
D)  An inference engine

Question 7

In the forward chaining technique, used by the inference engine component of an expert system, the _____ condition is evaluated first.

Accepted Answer

A)  if 
B)  then 
C)  what-is 
D)  what-else 
A)  if 
B)  then 
C)  what-is 
D)  what-else

Question 8

An expert system is not a good choice when a lot of human expertise is needed to tackle a problem.

Accepted Answer

A) True 
 B)False

Question 9

Robots are one of the most successful applications of artificial intelligence (AI).

Accepted Answer

A) True 
 B)False

Question 10

Learning capabilities can be added to a decision support system (DSS) by integrating it with a(n) _____.

Accepted Answer

A)  expert system 
B)  artificial neural network 
C)  database management library 
D)  natural-language processing system 
A)  expert system 
B)  artificial neural network 
C)  database management library 
D)  natural-language processing system

Question 11

Decision makers use the "what-is" analysis to monitor the effect of a change in one or more variables.

Accepted Answer

A) True 
 B)False

Question 12

In the backward chaining technique, used by the inference engine component of an expert system, the expert system starts with the goal, which is the _____ part, and backtracks to find the right solution.

Accepted Answer

A)  if 
B)  then 
C)  else 
D)  what-is 
A)  if 
B)  then 
C)  else 
D)  what-is

Question 13

_____ consist of common sense, rules of thumb, educated guesses, and instinctive judgments.

Accepted Answer

A)  Turing machines 
B)  Heuristics 
C)  Quick response codes 
D)  Swift codes 
A)  Turing machines 
B)  Heuristics 
C)  Quick response codes 
D)  Swift codes

Question 14

An expert system should be used when well-structured numerical problems are involved.

Accepted Answer

A) True 
 B)False

Question 15

In the context of the knowledge base component of an expert system, _____ enables an expert system to learn from experience and examine and extract relevant facts to determine the path to a solution.

Accepted Answer

A)  meta-knowledge 
B)  factual knowledge 
C)  heuristic knowledge 
D)  dominant knowledge 
A)  meta-knowledge 
B)  factual knowledge 
C)  heuristic knowledge 
D)  dominant knowledge

Question 16

Which of the following statements is true of integrating an expert system into the database component of a decision support system (DSS)?

Accepted Answer

A)  It reduces access speed. 
B)  It adds the capability to handle fuzzy data. 
C)  It adds inductive reasoning to traditional database management system functions. 
D)  It increases the time and cost of calculating data for models. 
A)  It reduces access speed. 
B)  It adds the capability to handle fuzzy data. 
C)  It adds inductive reasoning to traditional database management system functions. 
D)  It increases the time and cost of calculating data for models.

Question 17

The size and complexity of the human language has made developing _____ difficult.

Accepted Answer

A)  natural-language processing systems 
B)  database management systems 
C)  human biometric systems 
D)  virtual-reality language learning systems 
A)  natural-language processing systems 
B)  database management systems 
C)  human biometric systems 
D)  virtual-reality language learning systems

Question 18

_____ is an example of an expert system that can be applied to various financial applications.

Accepted Answer

A)  DENDRAL 
B)  ASIMO 
C)  Shyster 
D)  PortBlue 
A)  DENDRAL 
B)  ASIMO 
C)  Shyster 
D)  PortBlue

Question 19

__________mimic the process of natural evolution to generate solutions to optimization and search problems.

Accepted Answer

A)  Genetic algorithms 
B)  Greedy algorithms 
C)  Firefly algorithms 
D)  Backtracking algorithms 
E)  Select 
A)  Genetic algorithms 
B)  Greedy algorithms 
C)  Firefly algorithms 
D)  Backtracking algorithms 
E)  Select

Question 20

Information systems can be added to a decision support system's (DSS's) model base component to incorporate fuzzy sets in the model-building process.

Accepted Answer

A) True 
 B)False

__________are used when data is fuzzy and uncertainty is involved.

In the context of fuzzy logic, which of the following defines membership in a black-or-white fashion?

The _____ characteristic of an intelligent agent demonstrates the agent's ability to migrate from one platform to another with a minimum of human intervention.

A(n)__________is the component of an expert system that performs tasks similar to what a human expert does by explaining to end users how recommendations are derived.

GeneHunter is a hybrid product that combines artificial intelligence (AI) technologies using _____.

Which of the following components of an expert system uses forward and backward chaining to manipulate a series of rules?

In the forward chaining technique, used by the inference engine component of an expert system, the _____ condition is evaluated first.

An expert system is not a good choice when a lot of human expertise is needed to tackle a problem.

Robots are one of the most successful applications of artificial intelligence (AI).

Learning capabilities can be added to a decision support system (DSS) by integrating it with a(n) _____.

Decision makers use the "what-is" analysis to monitor the effect of a change in one or more variables.

In the backward chaining technique, used by the inference engine component of an expert system, the expert system starts with the goal, which is the _____ part, and backtracks to find the right solution.

_____ consist of common sense, rules of thumb, educated guesses, and instinctive judgments.

An expert system should be used when well-structured numerical problems are involved.

In the context of the knowledge base component of an expert system, _____ enables an expert system to learn from experience and examine and extract relevant facts to determine the path to a solution.

Which of the following statements is true of integrating an expert system into the database component of a decision support system (DSS)?

The size and complexity of the human language has made developing _____ difficult.

_____ is an example of an expert system that can be applied to various financial applications.

__________mimic the process of natural evolution to generate solutions to optimization and search problems.

Information systems can be added to a decision support system's (DSS's) model base component to incorporate fuzzy sets in the model-building process.

Information Systems: an Overview

Computers: the Machines Behind Computing

Database Systems, Data Warehouses, and Data Marts

Personal, Legal, Ethical, and Organizational Issues of Information Systems

Protecting Information Resources

Data Communication: Delivering Information Anywhere and Anytime

The Internet, Intranets, and Extranets

E-Commerce

Global Information Systems

Building Successful Information Systems

Enterprise Systems

Management Support Systems

Emerging Trends, Technologies, and Applications

Filters

Exam 13: Intelligent Information Systems

__________are used when data is fuzzy and uncertainty is involved.

In the context of fuzzy logic, which of the following defines membership in a black-or-white fashion?

The _____ characteristic of an intelligent agent demonstrates the agent's ability to migrate from one platform to another with a minimum of human intervention.

A(n)__________is the component of an expert system that performs tasks similar to what a human expert does by explaining to end users how recommendations are derived.

GeneHunter is a hybrid product that combines artificial intelligence (AI) technologies using _____.

Which of the following components of an expert system uses forward and backward chaining to manipulate a series of rules?

In the forward chaining technique, used by the inference engine component of an expert system, the _____ condition is evaluated first.

An expert system is not a good choice when a lot of human expertise is needed to tackle a problem.

Robots are one of the most successful applications of artificial intelligence (AI).

Learning capabilities can be added to a decision support system (DSS) by integrating it with a(n) _____.

Decision makers use the "what-is" analysis to monitor the effect of a change in one or more variables.

In the backward chaining technique, used by the inference engine component of an expert system, the expert system starts with the goal, which is the _____ part, and backtracks to find the right solution.

_____ consist of common sense, rules of thumb, educated guesses, and instinctive judgments.

An expert system should be used when well-structured numerical problems are involved.

In the context of the knowledge base component of an expert system, _____ enables an expert system to learn from experience and examine and extract relevant facts to determine the path to a solution.

Which of the following statements is true of integrating an expert system into the database component of a decision support system (DSS)?

The size and complexity of the human language has made developing _____ difficult.

_____ is an example of an expert system that can be applied to various financial applications.

__________mimic the process of natural evolution to generate solutions to optimization and search problems.

Information systems can be added to a decision support system's (DSS's) model base component to incorporate fuzzy sets in the model-building process.

Information Systems: an Overview

Computers: the Machines Behind Computing

Database Systems, Data Warehouses, and Data Marts

Personal, Legal, Ethical, and Organizational Issues of Information Systems

Protecting Information Resources

Data Communication: Delivering Information Anywhere and Anytime

The Internet, Intranets, and Extranets

E-Commerce

Global Information Systems

Building Successful Information Systems

Enterprise Systems

Management Support Systems

Emerging Trends, Technologies, and Applications

Filters