Open AccessImplementation of Alpha-Beta Pruning and Transposition Tables on Checkers Game
Author(s) -
Cristian C. Suancha,
Marco J. Suarez,
Felipe A. Besoain
Publication year - 2024
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2024.3381958
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Checkers is a strategy game for two players on an 8x8 square board. This document outlines the creation of a checkers game, employing alpha-beta pruning as a search algorithm and transposition tables to enable the game to learn from past play sessions. The utilization of these techniques enhances the game’s strategic decision-making process, contributing to an improved overall gaming experience. The execution time of the machine’s moves in games with and without using transposition tables showed that it is possible to make some games faster by using the data stored in the tables. However, under some conditions this can be more time-consuming than the search performed by the alpha-beta algorithm. A user survey resulted in positive outcomes, indicating a favorable user experience when using the implemented game with the transposition tables. Comparative analysis against other algorithms demonstrated the successful implementation of the approach.