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3 cards from this section. Quick, good the night before a test.
What is a heuristic?
Think about how you would navigate a maze.
Name one strength of the Greedy Best-First Search.
Consider its approach to selecting nodes.
What does A* Search use to evaluate nodes?
Think about the formula f(n) = g(n) + h(n).
Is the Greedy Best-First Search guaranteed to find an optimal solution?
Consider how it selects nodes for exploration.
Design a heuristic suitable for searching through a chess game. Explain its components and how it improves search efficiency.
Think about what makes a position advantageous in chess.
Discuss the trade-offs involved when using A* Search with a very memory-intensive heuristic. How would you mitigate these trade-offs?
Consider adjustments to the search strategy that maintain effectiveness yet reduce memory requirements.
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