EP 07 | CS221 Week 4: Games & Constraint Satisfaction Problems
from AI Bites: The Academic Series Hosted by Jack Lakkapragada
How does AI play to win? This week in Stanford’s CS221, we shift gears from simple pathfinding to navigating adversarial environments and solving complex logic puzzles with strict boundaries. Key Topics: Games: Exploring strategic decision-making, game trees (Minimax/Expectimax), and how AI predicts an opponent’s next move in competitive scenarios. Introduction to CSPs: An entry into Constraint Satisfaction Problems. We look at how AI finds variables that satisfy a specific set of rules—essential for things like scheduling, map coloring, or Sudoku. Note: This is an AI-generated study resource created via NotebookLM based on Stanford CS221 materials and personal study notes.
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