Thesis Details

Strategická hra s neurčitostí založená na deskové hře Scotland Yard

Master's Thesis Student: Husa Rostislav Academic Year: 2021/2022 Supervisor: Zbořil František, doc. Ing., Ph.D.

English title

A Strategy Game with Uncertainty Based on the Board Game Scotland Yard

Language

Czech

Abstract

The subject of this thesis is creation of custom game using same principles as the game of Scotland Yard. Realization is including few versions of artificial intelligence for each player of the game using machine learning. Most importantly neural net and Monte Carlo Tree Search. Both are tested in several variants and compared against each other.

Keywords

artifical intelligence, machine learning, Monte Carlo Tree Search, MCTS, deep neural nets, Scotland Yard, strategy games, board games, games with uncertainty

Department

Department of Intelligent Systems FIT BUT

Degree Programme

Information Technology, Field of Study Intelligent Systems

Files

Status

defended, grade D

Date

17 June 2022

Reviewer

Janoušek Vladimír, doc. Ing., Ph.D.

Committee

Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), předseda
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Kanich Ondřej, Ing., Ph.D. (DITS FIT BUT), člen
Rozman Jaroslav, Ing., Ph.D. (DITS FIT BUT), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen

Citation

HUSA, Rostislav. Strategická hra s neurčitostí založená na deskové hře Scotland Yard. Brno, 2022. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-17. Supervised by Zbořil František. Available from: https://www.fit.vut.cz/study/thesis/24593/

BibTeX

@mastersthesis{FITMT24593,
    author = "Rostislav Husa",
    type = "Master's thesis",
    title = "Strategick\'{a} hra s neur\v{c}itost\'{i} zalo\v{z}en\'{a} na deskov\'{e} h\v{r}e Scotland Yard",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/24593/"
}

Theses