Module 2 Flashcards

Rule-Based Expert Systems

1
Q

What is knowledge?

A

A theoretical or practical understanding of a subject or a domain.

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2
Q

What is a domain expert?

A

Someone who has deep knowledge (of both facts and rules) and strong practical experience in a particular domain.

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3
Q

What are the two parts of a rule?

A

Antecendent - the IF part

Consequent - the THEN part

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4
Q

What are the five relationships that rules can represent?

A

Relations
Recommendations
Directives
Strategies
Heuristics

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5
Q

What are the five members of an expert system development team?

A

Domain Expert
Knowledge Engineer
Programmer
Project Manager
End-User

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6
Q

In the development team, who is the knowledgeable and skilled person capable of solving problems in a specific area?

A

Domain expert

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7
Q

In the development team, who is the person capable of designing, building, and testing an expert system?

A

Knowledge Engineer

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8
Q

In the development team, who is the person responsible for the actual programming, describing the domain knowledge in terms that a computer can understand?

A

Programmer

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9
Q

In the development team, who is the leader, responsible for keeping the project on track?

A

Project Manager

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10
Q

In the development team, who is the person that uses the expert system when it is developed?

A

End-User

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11
Q

What are the elements of a rule-based expert system?

A

Knowledge Base
Database
Inference Engine
Explanation Facilities
User Interface

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12
Q

What is the difference between the knowledge base and a database in a rule-based expert system?

A

Knowledge Base - Contains the domain knowledge useful for problem solving

Database - Contains a set of facts

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13
Q

In a rule-based expert system, what part carries out the reasoning whereby the expert system reaches a solution?

A

Inference Engine

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14
Q

What is the benefit of an explanation facility?

A

Enables the user to ask the expert system
1) how a particular conclusion is reached
2) why a specific fact is needed

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15
Q

How does a user communicate with an expert system?

A

User Interface

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16
Q

What are the characteristics of an expert system?

A

Narrow, specialized domain
High-quality performance and high speed
Heuristics
Explanation capability
Symbolic reasoning

17
Q

Expert systems can make mistakes.

A

True. Mistakes are possible.

18
Q

In expert systems, knowledge is combined with processing.

A

False

19
Q

What are the steps to creating an inference chain?

A

Inference engine compares each rule with a fact
If a rule matches a fact, the rule is fired
Then part is placed in the agenda

20
Q
A