Lecture 2b: Solving Search Problems - Parte1

Lecture 2b: Solving Search Problems - Parte1

University

23 Qs

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Lecture 2b: Solving Search Problems - Parte1

Lecture 2b: Solving Search Problems - Parte1

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Created by

Bea Gomes

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23 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the methodology to carry out the Solution search?

Execute the goal test

Stop the search after 3 iterations

Start with the final state

Choose a random state to expand

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do we decide which node from the frontier to expand next in Best-First Search?

Choose a node with minimum value of h(n)

Choose a node with maximum value of g(n)

Choose a node with minimum value of f(n)

Choose a node with maximum value of f(n)

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the components of a Tree Node in the search data structures?

State, Child, Operator, Path length, Depth

State, Parent, Operator, Path cost, Depth

State, Parent, Action, Path cost, Height

State, Sibling, Operator, Path cost, Depth

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which search strategy expands nodes at the lowest depth first?

Uniform Cost Search

Depth-First Search

Breadth-First Search

Iterative Deepening Search

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the time complexity of Breadth-First Search in terms of the maximum branching factor (b) and depth of the least-cost solution (d)?

O(b/d)

O(b+d)

O(b*d)

O(b^d)

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the strategy of Dijkstra’s algorithm/Uniform Cost Search?

Expand the node with the highest cost

Expand the node with the highest depth

Expand the node with the lowest cost

Expand the node with the lowest depth

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the time complexity of Depth-First Search in terms of the maximum branching factor (b) and maximum depth of the state space (m)?

O(b*m)

O(b+m)

O(b-m)

O(b^m)

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