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8 Questions

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Uniform Cost Search Algorithm

Created by

@MajesticJudgment

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Questions and Answers

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?

General information

No information

Random information

Problem-specific information (correct)

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?

Uniform Cost Search Signup and view all the answers

What is the termination condition for Uniform-Cost Search?

Terminate if a node selected for expansion is a goal Signup and view all the answers

What is the key difference between Uniform Cost Search and Best-First Search?

Uniform Cost Search always selects the node with the lowest g(n) value, while Best-First Search uses an evaluation function f(n) to choose the node with the lowest f value. Signup and view all the answers

In Uniform Cost Search, how are nodes in the OPEN list sorted?

Nodes in OPEN are sorted by their g(.) values in ascending order. Signup and view all the answers

What type of search becomes similar to Breadth-First Search when all arcs have the same cost?

Uniform Cost Search Signup and view all the answers

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.