AI · Theory

Knowledge Representation

Theory

29/215

Knowledge Representation

Knowledge representation is how you write what the agent “knows”: logic sentences, frames, semantic nets, rules, probability tables. Good KR makes inference cheap and clear. Bad KR is a pile of strings nobody can query.

“Asha is a student” as FOL: Student(Asha). Relations beat a blob of English when you need proof. Pick logic vs probability based on certainty.

Output — idea / do / check for Knowledge Representation. Fill those three in the viva.

Exam tip

One KR style + why not plain English.

Example

# Knowledge Representation
print("idea :", "Knowledge Representation")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Knowledge Representation. Fill those three in the viva.

Short notes

DefLogic / frames / nets / rules / probabilities.
RuleMust support inference.

AI · Theory

Knowledge Representation

← All stacks

Theory

29/215

Knowledge Representation

“Asha is a student” as FOL: Student(Asha). Relations beat a blob of English when you need proof. Pick logic vs probability based on certainty.

Output — idea / do / check for Knowledge Representation. Fill those three in the viva.

Exam tip

One KR style + why not plain English.

Example

# Knowledge Representation
print("idea :", "Knowledge Representation")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Knowledge Representation. Fill those three in the viva.

Short notes

DefLogic / frames / nets / rules / probabilities.
RuleMust support inference.

Knowledge Representation

Example

Short notes

Questions

Knowledge Representation

Example

Short notes

Questions