Question 1

Define each of the following terms:

Accepted Answer

1)A computer-based application that empl

Question 2

Chaining is a simple method used by most IEs to produce a line of reasoning. Using this method the set of rules are organized in a recursive manner such that a fact concluded by one rule is used as the premise for the next. The two types of chaining bases which are possible in an ES are:

Accepted Answer

A)  straight and link. 
B)  forward and backward. 
C)  upward and downward. 
D)  inside and outside. 
A)  straight and link. 
B)  forward and backward. 
C)  upward and downward. 
D)  inside and outside.

Question 3

The first artificial intelligence system was referred to as LISP.

Accepted Answer

A) True 
 B)False

Question 4

Which of the following is most useful in a knowledge domain where precedence reasoning is most appropriate?

Accepted Answer

A)  Frames 
B)  Pattern recognition 
C)  Case-based reasoning 
D)  Rete algorithms 
A)  Frames 
B)  Pattern recognition 
C)  Case-based reasoning 
D)  Rete algorithms

Question 5

Which type of reasoning uses components of heuristics and categorization?

Accepted Answer

A)  Specific rules 
B)  Expectations 
C)  Past experience 
D)  Cognitive idealism 
A)  Specific rules 
B)  Expectations 
C)  Past experience 
D)  Cognitive idealism

Question 6

Which Of the following is not a daemon?

Accepted Answer

A)  If modified 
B)  If inquiry 
C)  If deleted 
D)  If necessary 
A)  If modified 
B)  If inquiry 
C)  If deleted 
D)  If necessary

Question 7

Which of the following is not an example of a heuristic?

Accepted Answer

A)  If the meal includes red meat, then chose a red wine. 
B)  If the Los Angeles Lakers are playing at home, they will be favored to win. 
C)  Bonds always hits a home run following an intentional walk. 
D)  Tuesday always follows Monday. 
A)  If the meal includes red meat, then chose a red wine. 
B)  If the Los Angeles Lakers are playing at home, they will be favored to win. 
C)  Bonds always hits a home run following an intentional walk. 
D)  Tuesday always follows Monday.

Question 8

Neural networks are the branch of AI that most closely resemble how the human brain operates.

Accepted Answer

A) True 
 B)False

Question 9

Which of the following is not a type of reasoning?

Accepted Answer

A)  Heursitics 
B)  Past experience 
C)  Cognitive idealism 
D)  None of the above. 
A)  Heursitics 
B)  Past experience 
C)  Cognitive idealism 
D)  None of the above.

Question 10

Which of the following is not a criterion for the evaluation of an expert system?

Accepted Answer

A)  The system should be responsive and easy to use. 
B)  The knowledge base should contain generally accepted knowledge. 
C)  The explanatory facility should be user-friendly. 
D)  All of the above are criteria. 
A)  The system should be responsive and easy to use. 
B)  The knowledge base should contain generally accepted knowledge. 
C)  The explanatory facility should be user-friendly. 
D)  All of the above are criteria.

Question 11

Which of the following is not a candidate situation for ES opportunities?

Accepted Answer

A)  Need to define a repetitive process to automate a manufacturing process 
B)  Need to evaluate a process 
C)  Need to control or govern a particular activity 
D)  Need to understand the nature of a given situation 
A)  Need to define a repetitive process to automate a manufacturing process 
B)  Need to evaluate a process 
C)  Need to control or govern a particular activity 
D)  Need to understand the nature of a given situation

Question 12

Reasoning by expectations uses components of heuristics and categorization.

Accepted Answer

A) True 
 B)False

Question 13

In an object network, concepts are represented as nodes and the arcs connecting the nodes represent their relationships.

Accepted Answer

A) True 
 B)False

Question 14

Which reasoning type is the most common?

Accepted Answer

A)  Categorization 
B)  Specific rules 
C)  Expectations 
D)  None of the above. 
A)  Categorization 
B)  Specific rules 
C)  Expectations 
D)  None of the above.

Question 15

The form of knowledge whereby a conclusion is reached as a result of one or more premises being established is referred to as declarative knowledge.

Accepted Answer

A) True 
 B)False

Question 16

In a frame, a trigger is a short procedure that can be triggered whenever a slot is created, modified or accessed.

Accepted Answer

A) True 
 B)False

Question 17

The ES component which provides the ES user with an area of working memory to use as a workspace for the various other components of the ES is the:

Accepted Answer

A)  dialog system. 
B)  user interface. 
C)  knowledge base. 
D)  blackboard. 
A)  dialog system. 
B)  user interface. 
C)  knowledge base. 
D)  blackboard.

Question 18

Genetic algorithms figure out which rules from prior cycles did not fire, which rules from the prior cycle will not fire in the next cycle, and which rules from the prior cycle that did not fire are most likely to fire next.

Accepted Answer

A) True 
 B)False

Question 19

Once we have experienced a particular situation or phenomena enough, we begin to expect it to appear in a certain manner or under a predictable set of conditions.

Accepted Answer

A) True 
 B)False

Question 20

Representations of objects that are typical of a category are referred to as frames.

Accepted Answer

A) True 
 B)False

Define each of the following terms:

Chaining is a simple method used by most IEs to produce a line of reasoning. Using this method the set of rules are organized in a recursive manner such that a fact concluded by one rule is used as the premise for the next. The two types of chaining bases which are possible in an ES are:

The first artificial intelligence system was referred to as LISP.

Which of the following is most useful in a knowledge domain where precedence reasoning is most appropriate?

Which type of reasoning uses components of heuristics and categorization?

Which Of the following is not a daemon?

Which of the following is not an example of a heuristic?

Neural networks are the branch of AI that most closely resemble how the human brain operates.

Which of the following is not a type of reasoning?

Which of the following is not a criterion for the evaluation of an expert system?

Which of the following is not a candidate situation for ES opportunities?

Reasoning by expectations uses components of heuristics and categorization.

In an object network, concepts are represented as nodes and the arcs connecting the nodes represent their relationships.

Which reasoning type is the most common?

The form of knowledge whereby a conclusion is reached as a result of one or more premises being established is referred to as declarative knowledge.

In a frame, a trigger is a short procedure that can be triggered whenever a slot is created, modified or accessed.

The ES component which provides the ES user with an area of working memory to use as a workspace for the various other components of the ES is the:

Genetic algorithms figure out which rules from prior cycles did not fire, which rules from the prior cycle will not fire in the next cycle, and which rules from the prior cycle that did not fire are most likely to fire next.

Once we have experienced a particular situation or phenomena enough, we begin to expect it to appear in a certain manner or under a predictable set of conditions.

Representations of objects that are typical of a category are referred to as frames.

Introduction to Decision Support Systems

Decisions and Decision Makers

Decisions in the Organization

Modeling Decision Processes

Group Decision Support and Groupware Technologies

Executive Information Systems

Knowledge Engineering and Acquisition

Machines That Can Learn

The Data Warehouse

Data Mining and Data Visualization

Designing and Building the Data Warehouse

Decisions in the Organization

Designing and Building Decision Support Systems

Implementing and Integrating Decision Support Systems

Creative Decision Making and Problem Solving

Intelligent Software Agents, Bots, Delegation, and Agency

Decision Support in the Twenty-First Century

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Exam 7: Expert Systems and Artificial Intelligence

Define each of the following terms:

Chaining is a simple method used by most IEs to produce a line of reasoning. Using this method the set of rules are organized in a recursive manner such that a fact concluded by one rule is used as the premise for the next. The two types of chaining bases which are possible in an ES are:

The first artificial intelligence system was referred to as LISP.

Which of the following is most useful in a knowledge domain where precedence reasoning is most appropriate?

Which type of reasoning uses components of heuristics and categorization?

Which Of the following is not a daemon?

Which of the following is not an example of a heuristic?

Neural networks are the branch of AI that most closely resemble how the human brain operates.

Which of the following is not a type of reasoning?

Which of the following is not a criterion for the evaluation of an expert system?

Which of the following is not a candidate situation for ES opportunities?

Reasoning by expectations uses components of heuristics and categorization.

In an object network, concepts are represented as nodes and the arcs connecting the nodes represent their relationships.

Which reasoning type is the most common?

The form of knowledge whereby a conclusion is reached as a result of one or more premises being established is referred to as declarative knowledge.

In a frame, a trigger is a short procedure that can be triggered whenever a slot is created, modified or accessed.

The ES component which provides the ES user with an area of working memory to use as a workspace for the various other components of the ES is the:

Genetic algorithms figure out which rules from prior cycles did not fire, which rules from the prior cycle will not fire in the next cycle, and which rules from the prior cycle that did not fire are most likely to fire next.

Once we have experienced a particular situation or phenomena enough, we begin to expect it to appear in a certain manner or under a predictable set of conditions.

Representations of objects that are typical of a category are referred to as frames.

Introduction to Decision Support Systems

Decisions and Decision Makers

Decisions in the Organization

Modeling Decision Processes

Group Decision Support and Groupware Technologies

Executive Information Systems

Knowledge Engineering and Acquisition

Machines That Can Learn

The Data Warehouse

Data Mining and Data Visualization

Designing and Building the Data Warehouse

Decisions in the Organization

Designing and Building Decision Support Systems

Implementing and Integrating Decision Support Systems

Creative Decision Making and Problem Solving

Intelligent Software Agents, Bots, Delegation, and Agency

Decision Support in the Twenty-First Century

Filters