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Subject: Artificial Intelligence 1(A). Consider the following tree for Minimax algorithm. Using Alpha-beta pruning, reduce the number of nodes in the tree. Indicate the pruned branch/branches. What will be the final value of the max node at the root? What will be the value of alpha and beta at the min node marked with orange? What will be the value of alpha and beta at the min node marked with blue?   1(B): You are given a state space, where the starting state is ‘S’ and the goal state is ‘G’. Using recursive best first search (RBFS) algorithm, find the optimal path. The heuristic values are given beside the state space graph. Draw separate tree for each step of your simulation.

Subject: Artificial Intelligence 1(A). Consider the following tree for Minimax algorithm. Using Alpha-beta pruning, reduce the number of nodes in the tree. Indicate the pruned branch/branches. What will be the final value of the max node at the root? What will be the value of alpha and beta at the min node marked with orange? What will be the value of alpha and beta at the min node marked with blue?   1(B): You are given a state space, where the starting state is ‘S’ and the goal state is ‘G’. Using recursive best first search (RBFS) algorithm, find the optimal path. The heuristic values are given beside the state space graph. Draw separate tree for each step of your simulation.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Subject: Artificial Intelligence

1(A).

Consider the following tree for Minimax algorithm. Using Alpha-beta pruning, reduce
the number of nodes in the tree. Indicate the pruned branch/branches.
What will be the final value of the max node at the root?
What will be the value of alpha and beta at the min node marked with orange?
What will be the value of alpha and beta at the min node marked with blue?

 

1(B):

You are given a state space, where the starting state is ‘S’ and the goal state is ‘G’. Using
recursive best first search (RBFS) algorithm, find the optimal path. The heuristic values
are given beside the state space graph. Draw separate tree for each step of your
simulation.

 

1(A). Consider the following tree for Minimax algorithm. Using Alpha-beta pruning, reduce the number of nodes in the tree. Indicate the pruned branch/branches. What will be the final value of the max node at the root? What will be the value of alpha and beta at the min node marked with orange? What will be the value of alpha and beta at the min node marked with blue? 15 25
Transcribed Image Text:1(A). Consider the following tree for Minimax algorithm. Using Alpha-beta pruning, reduce the number of nodes in the tree. Indicate the pruned branch/branches. What will be the final value of the max node at the root? What will be the value of alpha and beta at the min node marked with orange? What will be the value of alpha and beta at the min node marked with blue? 15 25
1(B). You are given a state space, where the starting state is 'S' and the goal state is 'G'. Using recursive best first search (RBFS) algorithm, find the optimal path. The heuristic values are given beside the state space graph. Draw separate tree for each step of your simulation. S- 10 A- 9 В- 9 C- 13 D- 7 E- 4 F- 3 6- 0
Transcribed Image Text:1(B). You are given a state space, where the starting state is 'S' and the goal state is 'G'. Using recursive best first search (RBFS) algorithm, find the optimal path. The heuristic values are given beside the state space graph. Draw separate tree for each step of your simulation. S- 10 A- 9 В- 9 C- 13 D- 7 E- 4 F- 3 6- 0
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