Deck 12: Rule-Based Systems
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Deck 12: Rule-Based Systems
1
An internal test of an expert system whose purpose is to determine if the system uses the same reasoning process as the experts) used to build the system.
A) validation
B) verification
C) reliability
D) suitability
A) validation
B) verification
C) reliability
D) suitability
B
2
Knowledge acquisition involves one or more experts and a
A) systems analyst.
B) knowledge engineer.
C) knowledge designer.
D) systems engineer.
A) systems analyst.
B) knowledge engineer.
C) knowledge designer.
D) systems engineer.
B
3
Encoding the knowledge extracted from an expert into a knowledge base.
A) knowledge programming
B) knowledge representation
C) knowledge acquisition
D) rapid prototyping
A) knowledge programming
B) knowledge representation
C) knowledge acquisition
D) rapid prototyping
A
4
An expert system with an empty knowledge base.
A) expert system shell
B) inference shell
C) state space
D) goal tree
A) expert system shell
B) inference shell
C) state space
D) goal tree
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5
Write production rules for the following goal tree.


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6
The main components of an expert system include a Knowledge base, a user interface and
A) a database
B) an explanation facility
C) an inference engine
D) a constraint propagator
A) a database
B) an explanation facility
C) an inference engine
D) a constraint propagator
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7
Construct a goal tree using the following production rules. Assume the goal is g.
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8
Developing a rough version of a system that is suitable for testing.
A) validating
B) field reporting
C) verifying
D) prototyping
A) validating
B) field reporting
C) verifying
D) prototyping
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9
Knowledge about knowledge is known as
A) metaknowledge
B) class knowledge
C) structured knowledge
D) classified knowledge
A) metaknowledge
B) class knowledge
C) structured knowledge
D) classified knowledge
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10
The knowledge contained in a knowledge-based system
A) contains the knowledge of one or more human experts.
B) contains the knowledge of one or more intelligent agents.
C) contains the knowledge of exactly one human expert.
D) contains knowledge extracted from one or several sources.
A) contains the knowledge of one or more human experts.
B) contains the knowledge of one or more intelligent agents.
C) contains the knowledge of exactly one human expert.
D) contains knowledge extracted from one or several sources.
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11
This reasoning strategy works best for problems where the goal can be stated as a question.
A) forward chaining
B) depth-first search
C) backward chaining
D) breadth-first search
A) forward chaining
B) depth-first search
C) backward chaining
D) breadth-first search
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12
Which of the following problems is not a good candidate for an expert systems solution?
A) bankruptcy prediction
B) determining company advertising strategies
C) solving the national debt crisis
D) providing investment strategies to avoid paying taxes
A) bankruptcy prediction
B) determining company advertising strategies
C) solving the national debt crisis
D) providing investment strategies to avoid paying taxes
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13
A problem that cannot be solved with a computer using a traditional algorithmic technique.
A) exponentially hard problem
B) recursive problem
C) non-transformable problem
D) combinatorial problem
A) exponentially hard problem
B) recursive problem
C) non-transformable problem
D) combinatorial problem
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14
Any technique that helps limit the size of a search space.
A) top-down technique
B) conflict resolution strategy
C) bottom-up technique
D) heuristic
A) top-down technique
B) conflict resolution strategy
C) bottom-up technique
D) heuristic
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15
Problems posed for solution by an artificial intelligence technique are often represented using
A) a truth space.
B) a rule space.
C) a state space.
D) a knowledge space.
A) a truth space.
B) a rule space.
C) a state space.
D) a knowledge space.
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