**Understanding Alpha-Beta Pruning in Game Trees**In the provided game tree structure, each node is represented by a letter (denoting the node's name) and a number (representing the minimax value). The goal is to apply alpha-beta pruning to efficiently determine which nodes' exact values are unnecessary to compute, given that the right child is added to the frontier first and the left child is expanded (or a utility is returned if it's a terminal node).### Tree Structure1. **Root Node (MIN level):** - **M**2. **Level 1 (MAX level):** - **L (Value: 11)** - **K**3. **Level 2 (MIN level):** - **J (Under K)** - **I (Under K)**4. **Level 3 (MAX level for J):** - **H (Value: 13)** - **G** - **F (Value: 7)**5. **Level 4 (MIN level under G and I):** - **D (Value: 14 under G)** - **C (Value: 9 under G)**6. **Level 3 (MAX level under I):** - **F (Continued, with values not needed at this level)** - **E (Value: 5)** 7. **Level 4 (Terminal nodes under G and I):** - **B (Value: 12 under F)** - **A (Value: 5 under E and F)**### Alpha-Beta Pruning Process- Start pruning from the root and progress towards the leaves, eliminating branches based on the minimax values derived from the left and right children. Note: Right child is added to the frontier first.**Nodes Determined Unnecessary by Alpha-Beta Pruning:**Crossed out nodes (i.e., nodes that would be pruned in this traversal based on alpha-beta logic):- **C**- **E**These nodes are pruned as they are not required to determine the outcome under the given rules for alpha-beta pruning, where the right child is prioritized in the expansion.This approach optimizes the minimax algorithm by ignoring branches that need not be considered, enhancing the efficiency of decision-making in games with extensive utility trees. The image is a list with checkboxes and letters next to each line. The items, in order of appearance, are:- □ L- □ C- □ B- □ E- □ I- □ D- □ M- □ H- □ G- □ A- □ J- □ F- □ KThere are no graphs or diagrams to explain.

Given : The game tree. The task is to find the set of nodes selected in alpha-beta pruning.

Consider the game tree in the following figure, where the letter next to the node is the name and the number below the node is the minmax value. Cross out the node(s) whose exact value(s) the alpha-beta pruning method never determines, assuming that the right child is added to the frontier first and the left child is expanded or returns utility (if terminal node) fırst. Select all nodes with the node names that will be crossed out by the above pruning. MIN ▼ M МАX A L A K 11 MIN МАX ΔΗ A E 13 7 ▼ D V B ▼ A 14 9. 12

Consider the game tree in the following figure, where the letter next to the node is the name and the number below the node is the minmax value. Cross out the node(s) whose exact value(s) the alpha-beta pruning method never determines, assuming that the right child is added to the frontier first and the left child is expanded or returns utility (if terminal node) fırst. Select all nodes with the node names that will be crossed out by the above pruning. MIN ▼ M МАX A L A K 11 MIN МАX ΔΗ A E 13 7 ▼ D V B ▼ A 14 9. 12

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

Given the following tree: Write the node data when this tree is traversed using postorder tree walk. a. [3 5 1 2 4 6] b. [1 5 3 4 2 6] c. [1 5 4 6 2 3)
Write a method isBST() that takes a Node as argument and returns true if the argument node is the root of a binary search tree, false otherwise.Hint : This task is also more difficult than it might seem, because the order in which youcall the methods in the previous three exercises is important.
This algorithm find the value of the largest item in a binary search tree. What is the time complexity of this algorithm, and why? int maxValue(node *root) { int max; max = maximum(root) return max; // if max equals -1, then the binary search tree was empty } int maximum(node *node) { if (node == NULL) { return -1; { else { int value = node->value; int left = maximum(node->left); int right = maximum(node->right); if (value < left) { value = left; } if (value < right) { value = right; } return value; } {
Each node that is spread out has more than one copy of the code. What is it?
Write a method that will insert a given value into a binary search tree. (class TNode{int value; TNode left; TNode right;}) The method will be in the BST class so that you will have an access to the root.
Question 2 What does this recursive method do? private int Count(Node node) { if (node == null) return 0; if (node.left == null && node.right == null) return 1; else return Count(node.left)+ Count(node.right)); } A count number of nodes that has one child in the binary tree (B) count number of nodes in the binary tree C count number of nodes that has two children in the binary tree D) count number of leaf nodes in the binary tree
In Java, Insert the following numbers from left to right into an initial empty BST and print the final tree level by level. 50, 20, 30, 40, 80, 70, 60, 20, 100, 90, 50, 10 a. Assume probability to search for the data in the tree is the same, compute average no. of comparison for above bst.
Send me your own work not AI generated response or plagiarised response. If I see these things, I'll give multiple downvotes and will definitely report.
Question 8 Given the following recursive method, what would be the output assuming that the root is the passing value to node parameter private int unknown(Node<Integer> node) { if (node == null) return 0; else return( 2*node.data + unknown(node.left)); } a. It will return the double of the summation of the left subtree of the root. b. It will return the summation of double of the data of the root with the data values of the subtree of the root node. c. It will return the double of the summation of the root node. d. It will return the double of the summation of the data of the root node and only the data of the left nodes of the left subtree of the root node.
Below are the top 3 levels of the game tree (tree of all continuations) of 2x2 go, with symmetry pruning. Each pass move is shown as an empty circle. Draw the next two levels of the game tree (you can prune for symmetry).
In what order are positions visited during a post-order traversal of the treedisplayed below? Label each node with the correct number Programming language: Java with output
Identify the error in the following algorithm to search for a node in the singly-linked list of students. ListSearch(students, key) {curNode = students⇢headwhile (curNode is null) {if (curNode⇢data == key) {return curNode}curNode = curNode⇢next}return null} Group of answer choices The if condition should be if (curNode⇢data != key). The statement curNode = students⇢head should be curNode = students⇢tail. The statement curNode = curNode⇢next should be curNode = students⇢head. The while condition should be while (curNode is not null).