Introduction to Java Programming and Data Structures  Comprehensive Version (11th Edition)
Introduction to Java Programming and Data Structures Comprehensive Version (11th Edition)
11th Edition
ISBN: 9780134700144
Author: Liang
Publisher: PEARSON
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Chapter 25.6, Problem 25.6.2CP

Explanation of Solution

Greedy algorithm:

  • The greedy algorithm is used to achieve optimal solution for a given problem. In this method, the decisions are made from the given solution domain.
  • The choice of algorithm is made optimally and locally and using the choice the solution is obtained globally and optimally.
  • The greedy method does not produce optimal solution at many times, it uses heuristics method that may obtain solution locally optimally and using that an approximate solution is obtained globally at a reasonable amount of time...

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a) first player is the minimizing player. What move should be chosen?b) What nodes would not need to be examined using the alpha-beta pruning procedure?
Consider the problem of finding a path in the grid shown below from the position S to theposition G. The agent can move on the grid horizontally and vertically, one square at atime (each step has a cost of one). No step may be made into a forbidden crossed area. Inthe case of ties, break it using up, left, right, and down.(a) Draw the search tree in a greedy search. Manhattan distance should be used as theheuristic function. That is, h(n) for any node n is the Manhattan distance from nto G. The Manhattan distance between two points is the distance in the x-directionplus the distance in the y-direction. It corresponds to the distance traveled along citystreets arranged in a grid. For example, the Manhattan distance between G and S is4. What is the path that is found by the greedy search?(b) Draw the search tree in an A∗search. Manhattan distance should be used as the
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