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AI · Theory

Negotiation and Bargaining

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Theory

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Negotiation and Bargaining

Negotiation and Bargaining 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 Negotiation and Bargaining. Fill those three in the viva.

Tiny Negotiation and Bargaining story — get the key, open the door, reach the gold. That beats a UML diagram.

Exam tip

Goal + actions + deterministic or not.

Example

# Negotiation and Bargaining
print("idea :", "Negotiation and Bargaining")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Negotiation and Bargaining. Fill those three in the viva.

Short notes

  • DefNegotiation and Bargaining — actions toward a goal.
  • RuleState the world type.
  • TrapNegotiation and Bargaining — calling every ML model “planning”.

Questions

1

Explain Negotiation and Bargaining 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 Negotiation and Bargaining?

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