Expert Systems: Basic Concepts and Structure Flashcards

1
Q

What sort of knowledge can be categorised as a sequence of instructions or commands?

A

Procedural knowledge

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2
Q

What sort of knowledge can be categorised as a set of conditions or rules?

A

Declarative knowledge

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3
Q

What is the name of the process of extracting the knowledge from experts to build an expert system?

A

Knowledge elicitation

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4
Q

Which part of an expert system applies the facts of a particular case to the domain specific knowledge-base?

A

Inference engine

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5
Q

What is a consequent?

A

A consequent is the second half of a hypothetical proposition (THEN). It can have multiple clauses

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6
Q

What is a rule?

A

A rule can have multiple antecedents either a conjunction and/or a disjunction

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7
Q

What is an antecedent?

A

The statement contained in the if statement of a conditional proposition

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8
Q

What is a conjunction?

A

A conjunction implies that both statements are true (AND)

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9
Q

What is a disjunction?

A

A disjunction implies that at least one statement is true (OR)

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10
Q

Knowledge is a _________ or________ understanding of a subject or a domain

A

theoretical, practical

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11
Q

Knowledge is the ______ of what is currently known

A

sum

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12
Q

A rule ______ when its condition part is ______ and its action part is _______

A

fires, satisfied, executed

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13
Q

What do rules represent?

A

Relations, recommendations, directive, strategies, heuristics

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14
Q

What are the 3 main tasks of designing an expert system?

A

Obtain the required knowledge from an expert. Express knowledge as a collection of rules in the form of logical implications. Extract conclusions.

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15
Q

Comparison between humans and computers

A

Humans have recognition and reasoning. Computers have computation.

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16
Q

Who can be called an expert?

A

Those who possess deep knowledge and have strong practical experience

17
Q

Difference between procedural knowledge and declarative knowledge

A

Procedural knowledge is about how to. Declarative knowledge is about what is. They are difficult to use for reasoning.

18
Q

What are expert systems?

A

Software packages designed to assist humans in situations in which an expert in a specific area is required

19
Q

3 stages of expert systems

A

Knowledge base, inference engine, user interface

20
Q

What’s the concept of the knowledge base system?

A

Aims to capture human expert knowledge to support decision-making and problem-solving

21
Q

Concept of inference engine

A

Carries out the reasoning from the knowledge base to reach a solution. It links the rules given in the knowledge base with the facts provided in the database

22
Q

Concept of reasoning

A

A mechanism for selecting relevant facts and extracting conclusions in a logical and rational way

23
Q

Main players of expert systems

A

Knowledge Engineer, End-user, Project Manager, Programmer, Domain expert

24
Q

Advantages of expert systems

A

reduce the no. of errors, combine various human expert intelligence, more efficient by reducing time needed to solve, can hold huge amounts of data

25
Q

Disadvantages of expert systems

A

not error free, no adaptability, not capable of explaining the logic behind a decision, lacks common sense, high maintainability cost