Uniform Cost Search Algorithm
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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?

    <p>Uniform Cost Search</p> Signup and view all the answers

    What is the termination condition for Uniform-Cost Search?

    <p>Terminate if a node selected for expansion is a goal</p> Signup and view all the answers

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

    <p>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.</p> Signup and view all the answers

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

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

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

    <p>Uniform Cost Search</p> Signup and view all the answers

    Study Notes

    • 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.
    • 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 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.

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