Thesis (Selection of subject)Thesis (Selection of subject)(version: 368)
Thesis details
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Classic Card Games
Thesis title in Czech: Klasické karetní hry
Thesis title in English: Classic Card Games
Key words: hraní klasických karetních her, umělý hráč, klient/server aplikace, framework, knihovna
English key words: playing classic card games, artificial player, client/server application, framework, library
Academic year of topic announcement: 2016/2017
Thesis type: Bachelor's thesis
Thesis language: angličtina
Department: Department of Software and Computer Science Education (32-KSVI)
Supervisor: Mgr. Jakub Gemrot, Ph.D.
Author: Mgr. Jakub Mifek - assigned and confirmed by the Study Dept.
Date of registration: 02.11.2016
Date of assignment: 02.11.2016
Confirmed by Study dept. on: 19.12.2016
Date and time of defence: 06.09.2018 09:00
Date of electronic submission:20.07.2018
Date of submission of printed version:20.07.2018
Date of proceeded defence: 06.09.2018
Opponents: Mgr. Michal Bída, Ph.D.
 
 
 
Guidelines
Cílem práce je vytvořit klient/server framework pro implementaci klasických karetních her. Součástí práce je podpora umělých hráčů pro dané karetní hry. Framework bude předveden na implementaci vícero (alespoň pěti) karetních her včetně umělých hráčů.
References
Russel & Norvig: Artificial Intelligence: A Modern Approach, 3rd Prentice Hall Press Upper Saddle River, NJ, USA ©2009, ISBN:0136042597 9780136042594
Daniel Whitehouse: Monte Carlo Tree Search for games with Hidden Information and Uncertainty. In: PhD Thesis, University of York, Computer Science, 2014.
Nathan R. Sturtevant and Adam M. White: Feature Construction for Reinforcement Learning in Hearts. In: Computers and Games, LCNS 4630, Springer-Verlag, pp 122-134, ISBN: 978-3-540-75537-1 (2015)
 
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