Thesis Details
Multiplatformní karetní hra s umělou inteligencí
This thesis focuses on artificial intelligence in card games. The goal is to implement a multi-platform game of this genre in the Unity game engine, to summarize possible approaches that are being used in order to create intelligent agents and furthermore to design and describe the most suitable method or combination of methods for the chosen game. The research that was carried out has shown that the problem domain of card games is rather specific, making it more difficult to use the general-purpose algorithms. The problem given was solved using the rule-based artificial intelligence. The intelligent agent has been implemented for a game of imperfect information, which is considered to be the main contribution of this work to the community. Even though the artificial intelligence player is making minor tactical mistakes, his behavior closely resembles the way of thinking of semi-experienced players.
artificial intelligence, Unity, artificial intelligence in card games, multi-platform development, imperfect information games, card game Bang!, Nash equilibrium, game theory, C#
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Kekely Lukáš, Ing., Ph.D. (DCSY FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
@bachelorsthesis{FITBT24179, author = "Martin Trejtnar", type = "Bachelor's thesis", title = "Multiplatformn\'{i} karetn\'{i} hra s um\v{e}lou inteligenc\'{i}", school = "Brno University of Technology, Faculty of Information Technology", year = 2021, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/24179/" }