Question 1Having the following goal state for the XO game:XXXxxxXXOXSTxaand having the following current state s=-ooxX0XXa. Generate the game tree until reaching the leaf nodes.b. Using mini-max algorithm set the value for each nodec. Decide the winner for the game if any.XXXX▬▬▬▬HXX

Answer:Introduction:1) This game was played between Human and the Computer.2) If Computer choose 'X'…

Question 1 Having the following goal state for the XO game: XO X OX ▬▬▬ tetet and having the following current state s= |x|x|0| XXX xxx HEX XI X a. Generate the game tree until reaching the leaf nodes. b. Using mini-max algorithm set the value for each node c. Decide the winner for the game if any. XXX ▬▬▬ - XL ++ XT X

Question 1 Having the following goal state for the XO game: XO X OX ▬▬▬ tetet and having the following current state s= |x|x|0| XXX xxx HEX XI X a. Generate the game tree until reaching the leaf nodes. b. Using mini-max algorithm set the value for each node c. Decide the winner for the game if any. XXX ▬▬▬ - XL ++ XT X

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

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Remaining Time: 1 hour, 29 minutes, 21 seconds. Question Completion Status: Analyze the following code. We want to remove the node hary. what code to apply ? Node tom Node dick Node harry = new Node("Tom", null); = new Node("Dick", null); = new Node("Harry", null); Node sam = new Node("Sam", null); Node head dick; harry; tom; tom.next dick.next = harry.next sam; %3D O dick.next.next = dick.next O dick= harry.next O harry.next = harry.next.next; O dick novt - dick novt nout Click Save and Submit to save and submit. Click Save All Answers to save all answers. Save All Answers Close Window exercice3.docx exercice2.docx TOSHIBA 近

ㅋ a 3 O d 8 8 5 5 12 b ∞ 108 3 e ∞ 5 7 11 6 ∞ 9 12 g h ¿ 12 8 Find the shortest path start at Mode "a" to every other node in the following graph. You must Show each. Step. The tabular solution and pseudocode. please have line by line explanation of each step.
The below adjacency matrix M represents a directed graph. 0 1 1 M=|1 0 1 1 0 Select one: O True O False
4 Write the shortest path length from A to every other node of the above in the Graph and the path component. (e.g. Path A to G: length: 3, consist of: A->C->G) 3 2 2 D F 3 A H. G 4.
Answer the given question with a proper explanation and step-by-step solution. the popBack() function fails when the node is empty the insertStudent only looks until a certain point
Q1/ Consider the search graph below where S is the start node and G1, G2, G3 are goal, using A* search algorithm to indicate which of the goal state reach first G10 10 A7 E1 7 3 6 3 G20 $9 D6 6 B 10 3 2 C 10 F7 11 T G3 0
def mysterious_function(n): if n >= 222: return n-14 else: return mysterious_function(mysterious_function(n+15)) print(mysterious_function(110)) print(mysterious_function(40)) print(mysterious_function(56)) Check this code and: Empirically, using time measurements, test your algorithm and plot a graph that shows its growth rate when variating the input.Note: your input should be within the input range ?≤222
Which of the statements are correct? (Select all that applies.) Group of answer choices A digraph is a graph whose edges are all directed. Digraphs can be applicable for detecting wash trade in financial market. Dijkstra's algorithm is based on the greedy method. Kruskal algorithm can be used to create a Minimum Spanning Tree. BFS runs in O(V+E) , where V is the number of vertices and E is the number of edges in the graph. DFS runs in O(V+E) as well.
True or false: For graphs with negative weights, one workaround to be able to use Dijkstra’s algorithm (instead of Bellman-Ford) would be to simply make all edge weights positive; for example, if the most negative weight in a graph is -8, then we can simply add +8 to all weights, compute the shortest path, then decrease all weights by -8 to return to the original graph. Select one: True False
Kruskal's minimum spanning tree algorithm is executed on the following graph. Select all edges from edgeList that belong to the minimum spanning tree. edgeList result List AD BC BE CF EF DG EG EH GH D 7 9 G 1 B 5 3 A E H 4 2 6 8 F
f). True or False. Prim's algorithm will work with negative edge weights. True False g). True or False. It's impossible for the MST of a graph to contain the largest weighted edge. True False h). True or False. The Shortest Paths Tree returned by Dijkstra's will never be a correct MST. True False i). True or False. A graph with unique edge weights will have exactly one MST. You might find it useful to know that Kruskal's algorithm can generate any MST depending on its tie-breaking scheme. True False j). True or False. A graph with non unique edge weights will always have a non unique MST True False k). True or False. If you take any graph G with positive edge weights and square all the edge weights and turn it into the graph G', G and G' have all the same MST's True False I). True or False. The minimum weight edge of any cycle in a graph G will be part of any MST of G True False
Objectives - Write a program to calculate minimum spanning tree using Kruskal's algorithm The graph below is from the Minimum Spanning Tree lecture. For vertices, you can use numbers instead of letters. Keep the edge weights the same, the result of your program should be 38. Vertices: A, B, C, D, E, F, G 1, 2, 3, 4, 5, 6, 7 10 6 8 8 10 7. 8 12 Sample Output Finding MST using Kruskal's Algorithm Edges of MST are 1 - 6 = 5 1 - 2 = 6 2 - 7 = 7 3 - 7 = 5 5 - 7 = 7 4 - 5 = 8 Weight of MST is 38