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Worksheets

AI 2

Total questions: 29

Worksheet time: 15mins

Name
Class
Date
1.

search algorithm takes _________ as an input and returns ________ as an output

a)

Input, output

b)

Problem, solution

c)

Solution, problem

d)

Parameters, sequence of actions

2.

A problem in a search space is defined by one of these state.

a)

Initial state

b)

Intermediate state

c)

Last state

d)

All of the mentioned

3.

The Set of actions for a problem in a state space is formulated by a _______

a)

Successor function, which takes current action and returns next immediate state

b)

Intermediate states

c)

Initial state

d)

None of the mentioned

4.

A solution to a problem is a path from the initial state to a goal state. Solution quality is measured by the path cost function, and an optimal solution has the highest path cost among all solutions

a)

True

b)

False

5.

The process of removing detail from a given state representation is called __

a)

Abstraction

b)

Extraction

c)

Information Retrieval

d)

Mining of data

6.

The _______ is a touring problem in which each city must be visited exactly once. The aim is to find the shortest tour.

a)

Travelling Salesman problem(TSP)

b)

Finding shortest path between a source and a destination

c)

Map coloring problem

d)

Depth first search traversal on a given map represented as a graph

7.

Web Crawler is a/an ____________

a)

Problem-solving agent

b)

Simple reflex agent

c)

Intelligent goal-based agent

d)

Model based agent

8.

What is the major component/components for measuring the performance of problem solving?

a)

Time and Space complexity

b)

Completeness

c)

Optimality

d)

All of the mentioned

9.

3. Which search method takes less memory?

a)

Depth-First Search

b)

Linear Search

c)

Optimal search

d)

Breadth-First search

10.

Which is the best way to go for Game playing problem?

a)

Linear approach

b)

An Optimal approach

c)

Heuristic approach (Some knowledge is stored)

d)

Random approach

11.

Which search strategy is also called as blind search?

a)

Simple reflex search

b)

Uninformed search

c)

Informed search

d)

All of the mentioned

12.

How many types are available in uninformed search method?

a)

2

b)

3

c)

5

d)

6

13.

Which search is implemented with an empty first-in-first-out queue?

a)

Depth-first search

b)

Bidirectional search

c)

Breadth-first search

d)

None of the mentioned

14.

When is breadth-first search is optimal?

a)

When all step costs are unequal

b)

When all step costs are equal

c)

When there is less number of nodes

d)

None of the mentioned

15.

What is the space complexity of Depth-first search?

a)

O(b)

b)

O(bm)

c)

O(bl)

d)

O(m)

16.

Depth-first search always expands the ______ node in the current fringe of the search tree.

a)

Minimum cost

b)

Shallowest

c)

Child node

d)

Deepest

17.

Breadth-first search always expands the ______ node in the current fringe of the search tree.

a)

Shallowest

b)

Deepest

c)

Child node

d)

Minimum cost

18.

What is the other name of informed search strategy?

a)

Simple search

b)

Online search

c)

Heuristic search

d)

None of the mentioned

19.

How many types of informed search method are in artificial intelligence?

a)

1

b)

5

c)

7

d)

4

20.

Which search uses the problem specific knowledge beyond the definition of the problem?

a)

Informed search

b)

Breadth-first search

c)

Depth-first search

d)

Uninformed search

21.

Which function will select the lowest expansion node at first for evaluation?

a)

Depth-first search

b)

Greedy best-first search

c)

Best-first search

d)

None of the mentioned

22.

Which search uses only the linear space for searching?

a)

Best-first search

b)

Depth-first search

c)

Recursive best-first search

d)

None of the mentioned

23.

Which method is used to search better by learning?

a)

Metalevel state space

b)

Depth-first search

c)

Best-first search

d)

None of the mentioned

24.

Which search is complete and optimal when h(n) is consistent?

a)

Depth-first search

b)

Best-first search

c)

A* search

d)

Both Best-first & Depth-first search

25.

Which is used to improve the performance of heuristic search?

a)

Simple form of nodes

b)

quality of nodes

c)

Quality of heuristic function

d)

None of the mentioned

26.

Which function is used to calculate the feasibility of whole game tree?

a)

Alpha-beta pruning

b)

Transposition

c)

Evaluation function

d)

All of the mentioned

27.

What is called as transposition table?

a)

Next value in the search

b)

Hash table of previously seen position

c)

Hash table of next seen positions

d)

None of the mentioned

28.

How the effectiveness of the alpha-beta pruning gets increased?

a)

Depends on the order in which they are executed

b)

Depends on the nodes

c)

All of the mentioned

d)

None of the mentioned

29.

Where does the values of alpha-beta search get updated?

a)

Along the path of search

b)

Initial state itself

c)

At the end

d)

None of the mentioned