Knowledge representations

What is OAV stands for?

• Object-Attitude-Value

• Object-Attribute-Value

• Onset-Attitude-Value

• Onset-Attribute-Value

Is this an OAV representation?

• True

• False

The advantage of frames compared to OAV are:

• Has value controlling parameter like type and default

• Allow inheritance

• can represent sequence

• doesn't allow subclass

Terms associated with frames are:

• slot

• value

• instance

• class

According to this decision tree, What is your spec prescription would be if your tears are normal, no astigmatism but have myope?

• hard

• soft

• none

Which of these is FALSE for rules?

• Rules can generate decision tree

• Decision tree can generate rules

• Rules do not allow contradiction

• Rules are good in representing sequence

What is the disadvantage of semantic networks?

• did not allow inheritance

• not easy to add new node

• not able to show hierarchy of relationship

• not able to show operational knowledge

Which knowledge representation is best to show this fury's family tree and the physical inheritance?

• OAV

• Semantic Network

• Frames

• Rules

Cogen argument must have

• strong predictive arguments

• all premises are true

• deductive arguments

• most premises must be true

Why knowledge representation is important?

• filters facts and non-facts

• capture correct procedures

• to map the facts

• to formalise the knowledge engineering process