informed-search-quiz

informed-search-quiz

University

6 Qs

quiz-placeholder

Similar activities

Artificial Intelligence 1

Artificial Intelligence 1

University

10 Qs

PDS - 04225 Lists, Stacks and Queues - Chapter 5

PDS - 04225 Lists, Stacks and Queues - Chapter 5

University

10 Qs

DRAINER CS : Data Structures Final Review

DRAINER CS : Data Structures Final Review

University

10 Qs

27Mar

27Mar

University

10 Qs

Quiz on Machine Thinking

Quiz on Machine Thinking

University

10 Qs

DS-U3-Q1

DS-U3-Q1

University

10 Qs

DAA-UNIT-4 QUIZ

DAA-UNIT-4 QUIZ

University

10 Qs

Lecture SEVEN.

Lecture SEVEN.

University

11 Qs

informed-search-quiz

informed-search-quiz

Assessment

Quiz

Computers

University

Medium

Created by

Syed Raza

Used 6+ times

FREE Resource

6 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

What is another name we can use for informed search strategies?

Uninformed search

Heuristic search

Breadth-first search

Depth-first search

2.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

What is the purpose of using heuristic information in search strategies?

To expand all nodes equally

To minimize the cost of the path

To minimize the cost of the search

To select the most promising nodes

3.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

What is the heuristic function used in the example of the 8-puzzle?

Counting the number of misplaced tiles

Counting the number of expanded nodes

Counting the number of goal nodes

Counting the number of search steps

4.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

What is the evaluation function f(n) in algorithm A*?

f(n) = g(n) + h(n)

f(n) = g(n) - h(n)

f(n) = g(n) * h(n)

f(n) = g(n) / h(n)

5.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

What is the goal of the A* algorithm?

To find the optimal solution

To explore all possible states

To minimize the evaluation function

To maximize the heuristic function

6.

MULTIPLE CHOICE QUESTION

3 mins • 1 pt

What does the heuristic function estimate in A* algorithm?

The distance to the goal node

The cost of reaching the current node

The number of misplaced tiles

The number of expanded nodes