Thesis Details
Board Game Focused on Educational Support for Gaming Algorithms
This work deals with the part of field of artificial intelligence known as ''Methods of playing games''. The goal of this bachelor's thesis is to design and implement software that allows the user to more easily understand the principles of game algorithms Minimax and Alpha-beta pruning. Typical users of this software can be, for example, students of artificial intelligence. This work is divided into two main parts. The first theoretical part tries to explain the ''Method of playing games'' concept and subsequently contains detailed descriptions of software design and educational benefits. The second part of this work is devoted to a description of software implementation, testing and discussion of the achieved results.
Artificial intelligence, game algorithm, state space, method for task solving methods, Minimax, Alpha-beta pruning, Tic-tac-toe game
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT), člen
Křena Bohuslav, Ing., Ph.D. (DITS FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
@bachelorsthesis{FITBT17302,
author = "Martin \v{C}\'{a}slava",
type = "Bachelor's thesis",
title = "Board Game Focused on Educational Support for Gaming Algorithms",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2015,
location = "Brno, CZ",
language = "english",
url = "https://www.fit.vut.cz/study/thesis/17302/"
}