Analyzing and Computing Solution for Dots and Boxes Game

Location

Room 232, Schewel Hall

Access Type

Campus Access Only

Entry Number

93

Start Date

4-5-2023 2:30 PM

End Date

4-5-2023 2:45 PM

College

Lynchburg College of Arts and Sciences

Department

Computer Science

Keywords

Computer science, board game, data

Abstract

This project analyzes data gathered from the classic dots and boxes game. Using simulations we find the most optimal way to evaluate every possible state in the game. Through the simulations we analyze the performance of running such a problem. From this data we can find ways to solve games of different dimensions quickly and efficiently.

Faculty Mentor(s)

Dr. Randy Ribler

Rights Statement

The right to download or print any portion of this material is granted by the copyright owner only for personal or educational use. The author/creator retains all proprietary rights, including copyright ownership. Any editing, other reproduction or other use of this material by any means requires the express written permission of the copyright owner. Except as provided above, or for any other use that is allowed by fair use (Title 17, §107 U.S.C.), you may not reproduce, republish, post, transmit or distribute any material from this web site in any physical or digital form without the permission of the copyright owner of the material.

Share

Import Event to Google Calendar

COinS
 
Apr 5th, 2:30 PM Apr 5th, 2:45 PM

Analyzing and Computing Solution for Dots and Boxes Game

Room 232, Schewel Hall

This project analyzes data gathered from the classic dots and boxes game. Using simulations we find the most optimal way to evaluate every possible state in the game. Through the simulations we analyze the performance of running such a problem. From this data we can find ways to solve games of different dimensions quickly and efficiently.