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1.If algorithm A is used with an evaluation function in which h(n ) is less than or equal to the cost of the minimal path

1.If algorithm A is used with an evaluation function in which h(n ) is less than or equal to the cost of the minimal path from n to the goal, what will the resulting search algorithm be called?

A.

algorithm Best First Search

B.

algorithm A*

C.

algorithm Heuristic

D.

algorithm A

2.

Which type of intelligent agents relies on current conditions without historical data?

a.

Learning

b.

Utility-based

c.

Simple reflex

d.

Goal-based

3.

Which of the following statements is FALSE about Minimax procedure?

a.

In Minimax procedure, MAX represents the player trying to win, MIN is the opponent who attempts to minimize MAXs score.

b.

The minimax algorithm can only be applied in a turn-based game.

c.

The minimax algorithm can not be applied in a game that allows a win-win situation.

d.

The minimax algorithm can be applied in a game that involves more than two players.

4.

Which one of the following is the main problem of hill climbing search?

A.

terminate at local optima

B.

terminate at global optima

C.

fail to find a solution

D.

have to backtrack

5.

Which are not the 8 Vs of Big Data?

i. Vacuum

ii. Vertical

iii. Vulnerable

iv. Visualization

A.

i and ii

B.

i, ii, and iii

C.

i, ii, iii and iv

D.

i, ii and iv

6.

Which scenario may cause the hill climbing algorithm terminates?

A.

the stopping criteria is met

B.

the goal is reached

C.

the local optima is achieved

D.

the global optima is achieved

7.

Which of the following is TRUE about informed heuristic?

A.

h(n ) is more informed when h(n ) <= h*(n )

B.

A heuristic h(n ) is informed if it guarantees to find actual cost path to a solution

C.

An informed heuristic does not ignore any child node thus will update open and closed list in order to find shortest path the first time the node is visited

D.

When a heuristic h(n ) is more informed this means that the heuristic evaluates less state space to expand to return optimal solution

8.

A cluster refers to a collection of data points aggregated together because of what certain character?

a.

distances

b.

similarities

c.

uniqueness

d.

differences

9.

The major advantages of production systems for artificial intelligence include:

i. The production system is an elegant model of separation of knowledge and control in a computer program.

ii. The components of a production system map naturally into the constructs of state space search.

iii. The modularity of rules and the iterative nature of their execution make it easier to trace execution of a production system.

iv. Pattern-directed search gives the ability to explore the space of logical inferences

in the predicate calculus

A.

i, ii, iii, iv.

B.

i, ii, and iv.

C.

ii and iii

10.

Which of the following statements is FALSE about Minimax and Alpha Beta procedure?

a.

In alpha beta pruning, Max will update value whilst Min will update value.

b.

Minimax search with alpha-beta pruning returns the optimal decision path given that your opponent is a rational agent.

c.

n-ply-look-ahead can be applied in a complicated games where it is impossible to expand the state graph out to leaf nodes

d.

Alpha beta pruning provides faster searching because it can prune a leaf or entire branch at any depth of tree thus reducing the number of nodes to be evaluated.

please ans fast i have 10 min

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