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
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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.