10 15 45 2. 2. 2 20 10 3.

Enhanced Discovering Computers 2017 (Shelly Cashman Series) (MindTap Course List)
1st Edition
ISBN:9781305657458
Author:Misty E. Vermaat, Susan L. Sebok, Steven M. Freund, Mark Frydenberg, Jennifer T. Campbell
Publisher:Misty E. Vermaat, Susan L. Sebok, Steven M. Freund, Mark Frydenberg, Jennifer T. Campbell
Chapter4: Programs And Apps: Productivity, Graphics, Security, And Other Tools
Section: Chapter Questions
Problem 29CT
icon
Related questions
Question

Assume you have the following search tree for an adversarial game, calculate the following:

A) The utility value for each node using the mini-max algorithm. Describe the sequence of nodes that you will work with. Show the final values at the root and the intermediate notes. 

B) Apply the alpha-beta pruning algorithm. Illustrate which nodes/branches will be pruned. Calculate the utility values for the intermediate nodes. What is the difference between the values in part b and part a?

C) For a general game tree (i.e., not limited to the above tree), are there any cases that the AlphaBeta algorithm gives a different value at the root node than the Minimax algorithm? If yes, show an example; if no, just say no.  

10
15
45
2.
2.
2 20
10
3.
Transcribed Image Text:10 15 45 2. 2. 2 20 10 3.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps with 1 images

Blurred answer
Knowledge Booster
Binomial Heap
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.
Recommended textbooks for you
Enhanced Discovering Computers 2017 (Shelly Cashm…
Enhanced Discovering Computers 2017 (Shelly Cashm…
Computer Science
ISBN:
9781305657458
Author:
Misty E. Vermaat, Susan L. Sebok, Steven M. Freund, Mark Frydenberg, Jennifer T. Campbell
Publisher:
Cengage Learning