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AI · Theory

Knowledge Representation Techniques

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Theory

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Knowledge Representation Techniques

Techniques: propositional logic (true/false sentences), FOL (objects + relations), semantic networks (nodes/edges), frames (slots), production rules (if–then), ontologies (shared vocabulary). Each trades expressiveness vs speed.

Viva: name four techniques and one use. Rules for a loan expert system. FOL for family relations. Nets for “is-a” taxonomies.

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

Exam tip

Four techniques + one use each.

Example

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

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

Short notes

  • DefPL, FOL, nets, frames, rules.
  • RuleExpressiveness vs speed.

Questions

1

Explain Knowledge Representation Techniques as if you are teaching a junior — definition, then one example.

2

What does the example print, and what does that prove?

3

What mistake do freshers make with Knowledge Representation Techniques?

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