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AI · Theory

Utility Functions

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Theory

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Utility Functions

Utility Functions is about choosing a sequence of actions toward a goal, sometimes with other agents or chance. State the goal, the actions, and whether the world is deterministic. Planning ≠ classification.

Output — idea / do / check for Utility Functions. Fill those three in the viva.

Tiny Utility Functions story — get the key, open the door, reach the gold. That beats a UML diagram.

Exam tip

Goal + actions + deterministic or not.

Example

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

Output: idea / do / check for Utility Functions. Fill those three in the viva.

Short notes

  • DefUtility Functions — actions toward a goal.
  • RuleState the world type.
  • TrapUtility Functions — calling every ML model “planning”.

Questions

1

Explain Utility Functions 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 Utility Functions?

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