Questions and Answers
In Uniform Cost Search, how are nodes in the OPEN list sorted?
By their $g(.)$ values in ascending order
What type of information does Informed (Heuristic) Search use to reduce the search tree?
Problem-specific information
What is the key idea behind Best-First Search?
Use an evaluation function $f(n)$ for node $n$ and choose the node from fringe with the lowest $f$ value
What type of search becomes similar to Breadth-First Search when all arcs have the same cost?
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What is the termination condition for Uniform-Cost Search?
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What is the key difference between Uniform Cost Search and Best-First Search?
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In Uniform Cost Search, how are nodes in the OPEN list sorted?
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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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Description
Test your knowledge about Uniform Cost Search, a problem-solving algorithm in artificial intelligence. Learn about selecting nodes for expansion and sorting nodes by their g(n) values.
