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Questions and Answers
In Uniform Cost Search, how are nodes in the OPEN list sorted?
In Uniform Cost Search, how are nodes in the OPEN list sorted?
- By their $f(.)$ values in ascending order
- By their $h(.)$ values in ascending order
- By their $g(.)$ values in ascending order (correct)
- Randomly
What type of information does Informed (Heuristic) Search use to reduce the search tree?
What type of information does Informed (Heuristic) Search use to reduce the search tree?
- General information
- No information
- Random information
- Problem-specific information (correct)
What is the key idea behind Best-First Search?
What is the key idea behind Best-First Search?
- Select nodes based on their depth in the search tree
- Use an evaluation function $f(n)$ for node $n$ and choose the node from fringe with the lowest $f$ value (correct)
- Always expand the node with the highest $f$ value
- Choose nodes randomly from the fringe
What type of search becomes similar to Breadth-First Search when all arcs have the same cost?
What type of search becomes similar to Breadth-First Search when all arcs have the same cost?
What is the termination condition for Uniform-Cost Search?
What is the termination condition for Uniform-Cost Search?
What is the key difference between Uniform Cost Search and Best-First Search?
What is the key difference between Uniform Cost Search and Best-First Search?
In Uniform Cost Search, how are nodes in the OPEN list sorted?
In Uniform Cost Search, how are nodes in the OPEN list sorted?
What type of search becomes similar to Breadth-First Search when all arcs have the same cost?
What type of search becomes similar to Breadth-First Search when all arcs have the same cost?
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Study Notes
Uniform Cost Search
- In Uniform Cost Search, nodes in the OPEN list are sorted by their path cost (g(n)) from the initial state to the node.
- The termination condition for Uniform-Cost Search is when the goal node is reached.
Best-First Search
- The key idea behind Best-First Search is that the node with the lowest estimated total cost (f(n) = g(n) + h(n)) is expanded first.
- The key difference between Uniform Cost Search and Best-First Search is that Uniform Cost Search uses path cost (g(n)) to guide the search, while Best-First Search uses an estimate of the total cost (f(n)) to guide the search.
Informed (Heuristic) Search
- Informed (Heuristic) Search uses an estimate of the distance from a node to the goal state (heuristic function h(n)) to reduce the search tree.
Special Case
- When all arcs have the same cost, Uniform Cost Search becomes similar to Breadth-First Search.
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